Made under the guidance of Dr. Agilandeeswari L
The project is a Transfer Learning and CNN trained model which can predict whether the patient has a suffering from Cancer or not by checking the images of the infected areas on the body. The model has been trained on a variety of images through which it predicts the required. In this project, the image file of the patient is upload into a software, which is GUI-based interface, developed with the help of Tkinter, and it consists of the model saved as a file and the software uses that to analyze the image and give the prediction which can help doctors to start with the medication way faster instead of waiting for the laboratory reports for the confirmation. So basically,
Ensembles are predictive models that combine predictions from two or more other models. Ensemble learning methods are popular and the goto technique when the best performance on a predictive modeling project is the most important outcome. Nevertheless, they are not always the most appropriate technique to use and beginners the field of applied machine learning have the expectation that ensembles or a specific ensemble method are always the best method to use. Ensembles offer two specific benefits on a predictive modeling project, and it is important to know what these benefits are and how to measure them to ensure that using an ensemble is the right decision on your project. In this tutorial, you will discover the benefits of using ensemble methods for machine learning. After reading this tutorial, you will know:
Flowchart:
All the Libraries being used in the model have been imported in the beginning of the model all together.
import numpy as np
from numpy import *
from numpy import average
from numpy import array
import pandas as pd
import os
import cv2
import csv
import scipy
import matplotlib.pyplot as plt
# import matplotlib.pylab as plt
%matplotlib inline
from sklearn.datasets import load_files
from sklearn.metrics import roc_curve, auc
import keras
from keras.preprocessing import image
from keras.preprocessing.image import img_to_array
from keras.preprocessing.image import load_img
from keras.utils import np_utils
from keras.models import Sequential
from keras.models import load_model
from keras.models import clone_model
from keras.models import Model
from keras.models import model_from_json
from keras.layers import Dense, GlobalAveragePooling2D, Flatten, BatchNormalization, Activation, Dropout
from keras.layers import Input
from keras.layers import Dense
from keras.callbacks import ModelCheckpoint, TensorBoard
from keras.applications.mobilenet import preprocess_input
from tensorflow.keras.models import load_model
from tensorflow.keras.preprocessing import image
from tensorflow.python.keras.layers import Dense,Conv2D,Flatten,MaxPooling2D,GlobalAveragePooling2D,Activation,BatchNormalization,Dropout
from tensorflow.python.keras import Sequential,backend,optimizers
from tkinter import *
from PIL import ImageTk
from PIL import ImageFile
from PIL import Image
from tqdm import tqdm
import tqdm
from glob import glob
import seaborn as sns
ImageFile.LOAD_TRUNCATED_IMAGES = True
Please click on the Link generated and then choose the Google account, which contains the dataset, which is being authorised by you to access the dataset.
from google.colab import drive
drive.mount('/content/drive')
Mounted at /content/drive
First the training data is being imported into the model via the Google Drive. The training data consists of 2000 images.
# Load text files with categories as subfolder names.
path_training_data = "/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Training_Part3_GroundTruth.csv"
training_data = pd.read_csv(path_training_data)
training_data
| image_id | melanoma | seborrheic_keratosis | |
|---|---|---|---|
| 0 | ISIC_0000000 | 0.0 | 0.0 |
| 1 | ISIC_0000001 | 0.0 | 0.0 |
| 2 | ISIC_0000002 | 1.0 | 0.0 |
| 3 | ISIC_0000003 | 0.0 | 0.0 |
| 4 | ISIC_0000004 | 1.0 | 0.0 |
| ... | ... | ... | ... |
| 1995 | ISIC_0015220 | 0.0 | 1.0 |
| 1996 | ISIC_0015233 | 0.0 | 1.0 |
| 1997 | ISIC_0015260 | 0.0 | 1.0 |
| 1998 | ISIC_0015284 | 1.0 | 0.0 |
| 1999 | ISIC_0015295 | 0.0 | 1.0 |
2000 rows × 3 columns
print("Filename: \n", training_data['image_id'][:5])
Filename: 0 ISIC_0000000 1 ISIC_0000001 2 ISIC_0000002 3 ISIC_0000003 4 ISIC_0000004 Name: image_id, dtype: object
print("Targets: \n", training_data['melanoma'][:5])
Targets: 0 0.0 1 0.0 2 1.0 3 0.0 4 1.0 Name: melanoma, dtype: float64
# Getting the labels
target = np_utils.to_categorical(np.array(training_data['melanoma']), 2)
target
array([[1., 0.],
[1., 0.],
[0., 1.],
...,
[1., 0.],
[0., 1.],
[1., 0.]], dtype=float32)
len(training_data['image_id'])
2000
# Splitting the data into the training and validation set
#load_dataset('/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Training_Data/Data Images JPG/')
train_files, train_targets = training_data['image_id'][:2000], target[:2000]
train_files
0 ISIC_0000000
1 ISIC_0000001
2 ISIC_0000002
3 ISIC_0000003
4 ISIC_0000004
...
1995 ISIC_0015220
1996 ISIC_0015233
1997 ISIC_0015260
1998 ISIC_0015284
1999 ISIC_0015295
Name: image_id, Length: 2000, dtype: object
train_targets
array([[1., 0.],
[1., 0.],
[0., 1.],
...,
[1., 0.],
[0., 1.],
[1., 0.]], dtype=float32)
Now, we will be importing the Validation data into the model via the Google Drive. The training data consists of 150 images.
# Load text files with categories as subfolder names.
path_validation_data = "/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Part3_GroundTruth.csv"
validation_data = pd.read_csv(path_validation_data)
validation_data
| image_id | melanoma | seborrheic_keratosis | |
|---|---|---|---|
| 0 | ISIC_0001769 | 0.0 | 0.0 |
| 1 | ISIC_0001852 | 0.0 | 0.0 |
| 2 | ISIC_0001871 | 0.0 | 0.0 |
| 3 | ISIC_0003462 | 0.0 | 0.0 |
| 4 | ISIC_0003539 | 0.0 | 0.0 |
| ... | ... | ... | ... |
| 145 | ISIC_0015443 | 0.0 | 0.0 |
| 146 | ISIC_0015445 | 0.0 | 0.0 |
| 147 | ISIC_0015483 | 0.0 | 0.0 |
| 148 | ISIC_0015496 | 0.0 | 0.0 |
| 149 | ISIC_0015627 | 0.0 | 0.0 |
150 rows × 3 columns
print("Filename: \n", validation_data['image_id'][:5])
Filename: 0 ISIC_0001769 1 ISIC_0001852 2 ISIC_0001871 3 ISIC_0003462 4 ISIC_0003539 Name: image_id, dtype: object
print("Targets: \n", validation_data['melanoma'][:5])
Targets: 0 0.0 1 0.0 2 0.0 3 0.0 4 0.0 Name: melanoma, dtype: float64
# Getting the labels
target = np_utils.to_categorical(np.array(validation_data['melanoma']), 2)
target
array([[1., 0.],
[1., 0.],
[1., 0.],
[1., 0.],
[1., 0.],
[1., 0.],
[1., 0.],
[1., 0.],
[1., 0.],
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[1., 0.],
[1., 0.],
[1., 0.],
[1., 0.],
[1., 0.],
[1., 0.],
[1., 0.]], dtype=float32)
len(validation_data['image_id'])
150
# train_files, train_targets = training_data['image_id'][:2000], target[:2000]
valid_files, valid_targets = validation_data['image_id'][:150], target[:150]
valid_files
0 ISIC_0001769
1 ISIC_0001852
2 ISIC_0001871
3 ISIC_0003462
4 ISIC_0003539
...
145 ISIC_0015443
146 ISIC_0015445
147 ISIC_0015483
148 ISIC_0015496
149 ISIC_0015627
Name: image_id, Length: 150, dtype: object
valid_targets
array([[1., 0.],
[1., 0.],
[1., 0.],
[1., 0.],
[1., 0.],
[1., 0.],
[1., 0.],
[1., 0.],
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[0., 1.],
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[0., 1.],
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[1., 0.],
[0., 1.],
[0., 1.],
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[1., 0.],
[1., 0.],
[1., 0.],
[1., 0.],
[1., 0.],
[1., 0.],
[1., 0.]], dtype=float32)
Now, we will be importing the Testing data into the model via the Google Drive. The Testing data consists of 600 images.
# Load text files with categories as subfolder names.
path_testing_data = "/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Part3_GroundTruth.csv"
testing_data = pd.read_csv(path_testing_data)
testing_data
| image_id | melanoma | seborrheic_keratosis | |
|---|---|---|---|
| 0 | ISIC_0012086 | 0.0 | 1.0 |
| 1 | ISIC_0012092 | 0.0 | 0.0 |
| 2 | ISIC_0012095 | 0.0 | 0.0 |
| 3 | ISIC_0012134 | 0.0 | 1.0 |
| 4 | ISIC_0012136 | 0.0 | 1.0 |
| ... | ... | ... | ... |
| 595 | ISIC_0016068 | 0.0 | 0.0 |
| 596 | ISIC_0016069 | 0.0 | 0.0 |
| 597 | ISIC_0016070 | 0.0 | 0.0 |
| 598 | ISIC_0016071 | 0.0 | 0.0 |
| 599 | ISIC_0016072 | 0.0 | 0.0 |
600 rows × 3 columns
print("Filename: \n", testing_data['image_id'][:5])
Filename: 0 ISIC_0012086 1 ISIC_0012092 2 ISIC_0012095 3 ISIC_0012134 4 ISIC_0012136 Name: image_id, dtype: object
print("Targets: \n", testing_data['melanoma'][:5])
Targets: 0 0.0 1 0.0 2 0.0 3 0.0 4 0.0 Name: melanoma, dtype: float64
# Getting the labels
test_target = np_utils.to_categorical(np.array(testing_data['melanoma']), 2)
test_target
array([[1., 0.],
[1., 0.],
[1., 0.],
...,
[1., 0.],
[1., 0.],
[1., 0.]], dtype=float32)
len(testing_data['image_id'])
600
# train_files, train_targets = training_data['image_id'][:2000], target[:2000]
test_files, test_targets = testing_data['image_id'][:600], test_target[:600]
test_files
0 ISIC_0012086
1 ISIC_0012092
2 ISIC_0012095
3 ISIC_0012134
4 ISIC_0012136
...
595 ISIC_0016068
596 ISIC_0016069
597 ISIC_0016070
598 ISIC_0016071
599 ISIC_0016072
Name: image_id, Length: 600, dtype: object
len(test_targets)
600
test_targets
array([[1., 0.],
[1., 0.],
[1., 0.],
...,
[1., 0.],
[1., 0.],
[1., 0.]], dtype=float32)
# Importing the libraries
import keras
from keras.preprocessing import image
from tqdm import tqdm
from PIL import ImageFile
ImageFile.LOAD_TRUNCATED_IMAGES = True
def path_to_tensor(img_path):
"""
Getting a tensor from a given path.
"""
# Loading the image
img = image.load_img(img_path, target_size=(512, 512))
# Converting the image to numpy array
x = image.img_to_array(img)
# convert 3D tensor to 4D tensor with shape (1, 512, 512, 3)
return np.expand_dims(x, axis=0)
def paths_to_tensor(img_paths):
"""
# Getting a list of tensors from a given path directory.
"""
list_of_tensors = [path_to_tensor(img_path) for img_path in tqdm(img_paths)]
return np.vstack(list_of_tensors)
train_files
0 ISIC_0000000
1 ISIC_0000001
2 ISIC_0000002
3 ISIC_0000003
4 ISIC_0000004
...
1995 ISIC_0015220
1996 ISIC_0015233
1997 ISIC_0015260
1998 ISIC_0015284
1999 ISIC_0015295
Name: image_id, Length: 2000, dtype: object
import os
os.chdir("/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Training_Data/Data Images JPG/")
!ls
ISIC_0000000.jpg ISIC_0002885.jpg ISIC_0011227.jpg ISIC_0013474.jpg ISIC_0000001.jpg ISIC_0002948.jpg ISIC_0011229.jpg ISIC_0013480.jpg ISIC_0000002.jpg ISIC_0002975.jpg ISIC_0011230.jpg ISIC_0013486.jpg ISIC_0000003.jpg ISIC_0002976.jpg ISIC_0011292.jpg ISIC_0013487.jpg ISIC_0000004.jpg ISIC_0003005.jpg ISIC_0011294.jpg ISIC_0013488.jpg ISIC_0000006.jpg ISIC_0003051.jpg ISIC_0011296.jpg ISIC_0013489.jpg ISIC_0000007.jpg ISIC_0003056.jpg ISIC_0011297.jpg ISIC_0013490.jpg ISIC_0000008.jpg ISIC_0003174.jpg ISIC_0011298.jpg ISIC_0013492.jpg ISIC_0000009.jpg ISIC_0003308.jpg ISIC_0011300.jpg ISIC_0013493.jpg ISIC_0000010.jpg ISIC_0003346.jpg ISIC_0011303.jpg ISIC_0013494.jpg ISIC_0000011.jpg ISIC_0003728.jpg ISIC_0011304.jpg ISIC_0013495.jpg ISIC_0000012.jpg ISIC_0004110.jpg ISIC_0011305.jpg ISIC_0013497.jpg ISIC_0000013.jpg ISIC_0004115.jpg ISIC_0011306.jpg ISIC_0013498.jpg ISIC_0000014.jpg ISIC_0004166.jpg ISIC_0011310.jpg ISIC_0013499.jpg ISIC_0000015.jpg ISIC_0004168.jpg ISIC_0011315.jpg ISIC_0013500.jpg ISIC_0000016.jpg ISIC_0004309.jpg ISIC_0011317.jpg ISIC_0013516.jpg ISIC_0000017.jpg ISIC_0004346.jpg ISIC_0011321.jpg ISIC_0013517.jpg ISIC_0000018.jpg ISIC_0004715.jpg ISIC_0011322.jpg ISIC_0013523.jpg ISIC_0000019.jpg ISIC_0004985.jpg ISIC_0011324.jpg ISIC_0013525.jpg ISIC_0000020.jpg ISIC_0005000.jpg ISIC_0011326.jpg ISIC_0013526.jpg ISIC_0000021.jpg ISIC_0005187.jpg ISIC_0011327.jpg ISIC_0013530.jpg ISIC_0000022.jpg ISIC_0005548.jpg ISIC_0011328.jpg ISIC_0013552.jpg ISIC_0000023.jpg ISIC_0005555.jpg ISIC_0011330.jpg ISIC_0013553.jpg ISIC_0000024.jpg ISIC_0005620.jpg ISIC_0011333.jpg ISIC_0013554.jpg ISIC_0000025.jpg ISIC_0005639.jpg ISIC_0011336.jpg ISIC_0013558.jpg ISIC_0000026.jpg ISIC_0005666.jpg ISIC_0011338.jpg ISIC_0013559.jpg ISIC_0000027.jpg ISIC_0005787.jpg ISIC_0011339.jpg ISIC_0013567.jpg ISIC_0000028.jpg ISIC_0006021.jpg ISIC_0011343.jpg ISIC_0013568.jpg ISIC_0000029.jpg ISIC_0006114.jpg ISIC_0011344.jpg ISIC_0013572.jpg 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ISIC_0013400.jpg ISIC_0015108.jpg ISIC_0002251.jpg ISIC_0011176.jpg ISIC_0013403.jpg ISIC_0015109.jpg ISIC_0002287.jpg ISIC_0011177.jpg ISIC_0013405.jpg ISIC_0015110.jpg ISIC_0002353.jpg ISIC_0011199.jpg ISIC_0013409.jpg ISIC_0015112.jpg ISIC_0002374.jpg ISIC_0011203.jpg ISIC_0013410.jpg ISIC_0015113.jpg ISIC_0002438.jpg ISIC_0011204.jpg ISIC_0013417.jpg ISIC_0015153.jpg ISIC_0002439.jpg ISIC_0011205.jpg ISIC_0013423.jpg ISIC_0015158.jpg ISIC_0002453.jpg ISIC_0011207.jpg ISIC_0013424.jpg ISIC_0015166.jpg ISIC_0002459.jpg ISIC_0011208.jpg ISIC_0013425.jpg ISIC_0015168.jpg ISIC_0002469.jpg ISIC_0011210.jpg ISIC_0013427.jpg ISIC_0015170.jpg ISIC_0002476.jpg ISIC_0011211.jpg ISIC_0013428.jpg ISIC_0015181.jpg ISIC_0002488.jpg ISIC_0011212.jpg ISIC_0013429.jpg ISIC_0015182.jpg ISIC_0002489.jpg ISIC_0011213.jpg ISIC_0013430.jpg ISIC_0015189.jpg ISIC_0002616.jpg ISIC_0011214.jpg ISIC_0013432.jpg ISIC_0015190.jpg ISIC_0002647.jpg ISIC_0011215.jpg ISIC_0013433.jpg ISIC_0015200.jpg ISIC_0002673.jpg ISIC_0011217.jpg ISIC_0013434.jpg ISIC_0015204.jpg ISIC_0002780.jpg ISIC_0011218.jpg ISIC_0013437.jpg ISIC_0015219.jpg ISIC_0002806.jpg ISIC_0011219.jpg ISIC_0013438.jpg ISIC_0015220.jpg ISIC_0002829.jpg ISIC_0011220.jpg ISIC_0013443.jpg ISIC_0015233.jpg ISIC_0002836.jpg ISIC_0011223.jpg ISIC_0013456.jpg ISIC_0015260.jpg ISIC_0002871.jpg ISIC_0011224.jpg ISIC_0013458.jpg ISIC_0015284.jpg ISIC_0002879.jpg ISIC_0011225.jpg ISIC_0013461.jpg ISIC_0015295.jpg
# pre-process the data for Keras
# Training Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Training_Data/Data Images JPG
# os.path.join(folder, file)
dt = os.walk('/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Training_Data/Data Images JPG')
files = []
for root, d_names, f_names in dt:
for filename in f_names:
files.append(os.path.join(root, filename))
files
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'/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Training_Data/Data Images JPG/ISIC_0014919.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Training_Data/Data Images JPG/ISIC_0014929.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Training_Data/Data Images JPG/ISIC_0014951.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Training_Data/Data Images JPG/ISIC_0014933.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Training_Data/Data Images JPG/ISIC_0014926.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Training_Data/Data Images JPG/ISIC_0014930.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Training_Data/Data Images JPG/ISIC_0014925.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Training_Data/Data Images JPG/ISIC_0014987.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Training_Data/Data Images JPG/ISIC_0015038.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Training_Data/Data Images JPG/ISIC_0015005.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Training_Data/Data Images JPG/ISIC_0014975.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Training_Data/Data Images JPG/ISIC_0015006.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Training_Data/Data Images JPG/ISIC_0014983.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Training_Data/Data Images JPG/ISIC_0015032.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Training_Data/Data Images JPG/ISIC_0015109.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Training_Data/Data Images JPG/ISIC_0015108.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Training_Data/Data Images JPG/ISIC_0015082.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Training_Data/Data Images JPG/ISIC_0015110.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Training_Data/Data Images JPG/ISIC_0015079.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Training_Data/Data Images JPG/ISIC_0015044.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Training_Data/Data Images JPG/ISIC_0015045.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Training_Data/Data Images JPG/ISIC_0015158.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Training_Data/Data Images JPG/ISIC_0015112.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Training_Data/Data Images JPG/ISIC_0015166.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Training_Data/Data Images JPG/ISIC_0015153.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Training_Data/Data Images JPG/ISIC_0015168.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Training_Data/Data Images JPG/ISIC_0015170.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Training_Data/Data Images JPG/ISIC_0015181.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Training_Data/Data Images JPG/ISIC_0015113.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Training_Data/Data Images JPG/ISIC_0015189.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Training_Data/Data Images JPG/ISIC_0015204.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Training_Data/Data Images JPG/ISIC_0015190.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Training_Data/Data Images JPG/ISIC_0015220.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Training_Data/Data Images JPG/ISIC_0015200.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Training_Data/Data Images JPG/ISIC_0015233.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Training_Data/Data Images JPG/ISIC_0015219.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Training_Data/Data Images JPG/ISIC_0015182.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Training_Data/Data Images JPG/ISIC_0015295.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Training_Data/Data Images JPG/ISIC_0015260.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Training_Data/Data Images JPG/ISIC_0015284.jpg', ...]
# train_tensors = paths_to_tensor(files).astype('float32')/255
valid_files
0 ISIC_0001769
1 ISIC_0001852
2 ISIC_0001871
3 ISIC_0003462
4 ISIC_0003539
...
145 ISIC_0015443
146 ISIC_0015445
147 ISIC_0015483
148 ISIC_0015496
149 ISIC_0015627
Name: image_id, Length: 150, dtype: object
import os
os.chdir("/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/")
!ls
ISIC_0001769.jpg ISIC_0012221.jpg ISIC_0013501.jpg ISIC_0014611.jpg ISIC_0001852.jpg ISIC_0012222.jpg ISIC_0013518.jpg ISIC_0014616.jpg ISIC_0001871.jpg ISIC_0012254.jpg ISIC_0013527.jpg ISIC_0014618.jpg ISIC_0003462.jpg ISIC_0012256.jpg ISIC_0013549.jpg ISIC_0014620.jpg ISIC_0003539.jpg ISIC_0012288.jpg ISIC_0013561.jpg ISIC_0014623.jpg ISIC_0003582.jpg ISIC_0012306.jpg ISIC_0013562.jpg ISIC_0014624.jpg ISIC_0003657.jpg ISIC_0012313.jpg ISIC_0013632.jpg ISIC_0014633.jpg ISIC_0003805.jpg ISIC_0012316.jpg ISIC_0013637.jpg ISIC_0014635.jpg ISIC_0004337.jpg ISIC_0012335.jpg ISIC_0013644.jpg ISIC_0014637.jpg ISIC_0006651.jpg ISIC_0012380.jpg ISIC_0013651.jpg ISIC_0014688.jpg ISIC_0006671.jpg ISIC_0012383.jpg ISIC_0013663.jpg ISIC_0014712.jpg ISIC_0006815.jpg ISIC_0012400.jpg ISIC_0013702.jpg ISIC_0014809.jpg ISIC_0006914.jpg ISIC_0012417.jpg ISIC_0013736.jpg ISIC_0014829.jpg ISIC_0007141.jpg ISIC_0012434.jpg ISIC_0013793.jpg ISIC_0014857.jpg ISIC_0007156.jpg ISIC_0012492.jpg ISIC_0013828.jpg ISIC_0014931.jpg ISIC_0007235.jpg ISIC_0012513.jpg ISIC_0013863.jpg ISIC_0014937.jpg ISIC_0007241.jpg ISIC_0012538.jpg ISIC_0013898.jpg ISIC_0014945.jpg ISIC_0007332.jpg ISIC_0012547.jpg ISIC_0013945.jpg ISIC_0014946.jpg ISIC_0007344.jpg ISIC_0012660.jpg ISIC_0014037.jpg ISIC_0014979.jpg ISIC_0007528.jpg ISIC_0012684.jpg ISIC_0014038.jpg ISIC_0014985.jpg ISIC_0007796.jpg ISIC_0012720.jpg ISIC_0014055.jpg ISIC_0014989.jpg ISIC_0008025.jpg ISIC_0012746.jpg ISIC_0014139.jpg ISIC_0015043.jpg ISIC_0008524.jpg ISIC_0012876.jpg ISIC_0014162.jpg ISIC_0015062.jpg ISIC_0009995.jpg ISIC_0012927.jpg ISIC_0014178.jpg ISIC_0015124.jpg ISIC_0010459.jpg ISIC_0012956.jpg ISIC_0014211.jpg ISIC_0015144.jpg ISIC_0012099.jpg ISIC_0012959.jpg ISIC_0014212.jpg ISIC_0015211.jpg ISIC_0012109.jpg ISIC_0012965.jpg ISIC_0014217.jpg ISIC_0015243.jpg ISIC_0012126.jpg ISIC_0013010.jpg ISIC_0014302.jpg ISIC_0015256.jpg ISIC_0012127.jpg ISIC_0013082.jpg ISIC_0014310.jpg ISIC_0015313.jpg ISIC_0012143.jpg ISIC_0013104.jpg ISIC_0014382.jpg ISIC_0015372.jpg ISIC_0012151.jpg ISIC_0013127.jpg ISIC_0014428.jpg ISIC_0015401.jpg ISIC_0012159.jpg ISIC_0013128.jpg ISIC_0014558.jpg ISIC_0015443.jpg ISIC_0012160.jpg ISIC_0013132.jpg ISIC_0014568.jpg ISIC_0015445.jpg ISIC_0012191.jpg ISIC_0013188.jpg ISIC_0014572.jpg ISIC_0015483.jpg ISIC_0012201.jpg ISIC_0013215.jpg ISIC_0014597.jpg ISIC_0015496.jpg ISIC_0012204.jpg ISIC_0013232.jpg ISIC_0014601.jpg ISIC_0015627.jpg ISIC_0012206.jpg ISIC_0013421.jpg ISIC_0014608.jpg ISIC_0012210.jpg ISIC_0013491.jpg ISIC_0014610.jpg
dt = os.walk('/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG')
validation_files = []
for root, d_names, f_names in dt:
for filename in f_names:
validation_files.append(os.path.join(root, filename))
validation_files
['/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0004337.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0001769.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0003582.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0003539.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0003805.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0006651.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0001852.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0003657.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0003462.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0001871.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0007241.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0006815.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0006914.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0007141.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0007344.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0007235.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0007796.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0008025.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0008524.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0007528.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0007156.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0007332.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0006671.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0010459.jpg', 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'/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012191.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012109.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012159.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012201.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012316.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012306.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012206.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012313.jpg', 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'/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014139.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014212.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014162.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014618.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014610.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014601.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014620.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014616.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014623.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014572.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014558.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014624.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014633.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014597.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014608.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014611.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014568.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014829.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014635.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014857.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014931.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014809.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014637.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014712.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014688.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014937.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014985.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014945.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014989.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014946.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014979.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015124.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015243.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015144.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015062.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015313.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015043.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015256.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015211.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015443.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015372.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015627.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015445.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015401.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015496.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015483.jpg']
# valid_tensors = paths_to_tensor(validation_files).astype('float32')/255
test_files
0 ISIC_0012086
1 ISIC_0012092
2 ISIC_0012095
3 ISIC_0012134
4 ISIC_0012136
...
595 ISIC_0016068
596 ISIC_0016069
597 ISIC_0016070
598 ISIC_0016071
599 ISIC_0016072
Name: image_id, Length: 600, dtype: object
import os
os.chdir("/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/")
!ls
ISIC_0012086.jpg ISIC_0014027.jpg ISIC_0014964.jpg ISIC_0015482.jpg ISIC_0012092.jpg ISIC_0014059.jpg ISIC_0014966.jpg ISIC_0015485.jpg ISIC_0012095.jpg ISIC_0014077.jpg ISIC_0014968.jpg ISIC_0015510.jpg ISIC_0012134.jpg ISIC_0014090.jpg ISIC_0014969.jpg ISIC_0015526.jpg ISIC_0012136.jpg ISIC_0014103.jpg ISIC_0014973.jpg ISIC_0015537.jpg ISIC_0012147.jpg ISIC_0014110.jpg ISIC_0014974.jpg ISIC_0015544.jpg ISIC_0012149.jpg ISIC_0014117.jpg ISIC_0014977.jpg ISIC_0015559.jpg ISIC_0012152.jpg ISIC_0014129.jpg ISIC_0014982.jpg ISIC_0015563.jpg ISIC_0012178.jpg ISIC_0014148.jpg ISIC_0014992.jpg ISIC_0015566.jpg ISIC_0012199.jpg ISIC_0014160.jpg ISIC_0014994.jpg ISIC_0015568.jpg ISIC_0012207.jpg ISIC_0014177.jpg ISIC_0014998.jpg ISIC_0015582.jpg ISIC_0012215.jpg ISIC_0014181.jpg ISIC_0015002.jpg ISIC_0015593.jpg ISIC_0012216.jpg ISIC_0014186.jpg ISIC_0015003.jpg ISIC_0015603.jpg ISIC_0012223.jpg ISIC_0014219.jpg ISIC_0015004.jpg ISIC_0015607.jpg ISIC_0012240.jpg ISIC_0014221.jpg ISIC_0015007.jpg ISIC_0015614.jpg ISIC_0012248.jpg ISIC_0014233.jpg ISIC_0015008.jpg ISIC_0015617.jpg ISIC_0012258.jpg ISIC_0014251.jpg ISIC_0015009.jpg ISIC_0015625.jpg ISIC_0012265.jpg ISIC_0014255.jpg ISIC_0015011.jpg ISIC_0015631.jpg ISIC_0012266.jpg ISIC_0014270.jpg ISIC_0015013.jpg ISIC_0015636.jpg ISIC_0012272.jpg ISIC_0014278.jpg ISIC_0015015.jpg ISIC_0015638.jpg ISIC_0012273.jpg ISIC_0014284.jpg ISIC_0015016.jpg ISIC_0015641.jpg ISIC_0012314.jpg ISIC_0014288.jpg ISIC_0015018.jpg ISIC_0015645.jpg ISIC_0012323.jpg ISIC_0014319.jpg ISIC_0015019.jpg ISIC_0015936.jpg ISIC_0012330.jpg ISIC_0014336.jpg ISIC_0015020.jpg ISIC_0015937.jpg ISIC_0012356.jpg ISIC_0014349.jpg ISIC_0015021.jpg ISIC_0015938.jpg ISIC_0012357.jpg ISIC_0014369.jpg ISIC_0015023.jpg ISIC_0015939.jpg ISIC_0012358.jpg ISIC_0014386.jpg ISIC_0015026.jpg ISIC_0015940.jpg ISIC_0012364.jpg ISIC_0014392.jpg ISIC_0015030.jpg ISIC_0015941.jpg ISIC_0012369.jpg ISIC_0014409.jpg ISIC_0015031.jpg ISIC_0015942.jpg ISIC_0012372.jpg ISIC_0014419.jpg ISIC_0015034.jpg ISIC_0015943.jpg ISIC_0012375.jpg ISIC_0014423.jpg ISIC_0015035.jpg ISIC_0015944.jpg ISIC_0012387.jpg ISIC_0014434.jpg ISIC_0015037.jpg ISIC_0015945.jpg ISIC_0012388.jpg ISIC_0014454.jpg ISIC_0015040.jpg ISIC_0015946.jpg ISIC_0012395.jpg ISIC_0014457.jpg ISIC_0015041.jpg ISIC_0015947.jpg ISIC_0012414.jpg ISIC_0014470.jpg ISIC_0015046.jpg ISIC_0015948.jpg ISIC_0012425.jpg ISIC_0014474.jpg ISIC_0015050.jpg ISIC_0015949.jpg ISIC_0012428.jpg ISIC_0014478.jpg ISIC_0015051.jpg ISIC_0015950.jpg ISIC_0012432.jpg ISIC_0014489.jpg ISIC_0015056.jpg ISIC_0015951.jpg ISIC_0012447.jpg ISIC_0014500.jpg ISIC_0015057.jpg ISIC_0015952.jpg ISIC_0012448.jpg ISIC_0014503.jpg ISIC_0015060.jpg ISIC_0015953.jpg ISIC_0012484.jpg ISIC_0014506.jpg ISIC_0015064.jpg ISIC_0015954.jpg ISIC_0012493.jpg ISIC_0014513.jpg ISIC_0015071.jpg ISIC_0015955.jpg ISIC_0012510.jpg ISIC_0014541.jpg ISIC_0015078.jpg ISIC_0015956.jpg ISIC_0012522.jpg ISIC_0014542.jpg ISIC_0015089.jpg ISIC_0015957.jpg ISIC_0012537.jpg ISIC_0014546.jpg ISIC_0015102.jpg ISIC_0015958.jpg ISIC_0012548.jpg ISIC_0014548.jpg ISIC_0015115.jpg ISIC_0015959.jpg ISIC_0012551.jpg ISIC_0014559.jpg ISIC_0015118.jpg ISIC_0015960.jpg ISIC_0012654.jpg ISIC_0014567.jpg ISIC_0015119.jpg ISIC_0015961.jpg ISIC_0012656.jpg ISIC_0014574.jpg ISIC_0015125.jpg ISIC_0015962.jpg ISIC_0012705.jpg ISIC_0014575.jpg ISIC_0015127.jpg ISIC_0015963.jpg ISIC_0012708.jpg ISIC_0014586.jpg ISIC_0015129.jpg ISIC_0015964.jpg ISIC_0012722.jpg ISIC_0014587.jpg ISIC_0015130.jpg ISIC_0015965.jpg ISIC_0012757.jpg ISIC_0014588.jpg ISIC_0015132.jpg ISIC_0015966.jpg ISIC_0012758.jpg ISIC_0014590.jpg ISIC_0015133.jpg ISIC_0015967.jpg ISIC_0012786.jpg ISIC_0014600.jpg ISIC_0015136.jpg ISIC_0015968.jpg ISIC_0012803.jpg ISIC_0014619.jpg ISIC_0015139.jpg ISIC_0015969.jpg ISIC_0012836.jpg ISIC_0014626.jpg ISIC_0015140.jpg ISIC_0015971.jpg ISIC_0012837.jpg ISIC_0014627.jpg ISIC_0015142.jpg ISIC_0015972.jpg ISIC_0012848.jpg ISIC_0014629.jpg ISIC_0015146.jpg ISIC_0015973.jpg ISIC_0012852.jpg ISIC_0014631.jpg ISIC_0015149.jpg ISIC_0015974.jpg ISIC_0012903.jpg ISIC_0014634.jpg ISIC_0015150.jpg ISIC_0015975.jpg ISIC_0012904.jpg ISIC_0014643.jpg ISIC_0015152.jpg ISIC_0015976.jpg ISIC_0012928.jpg ISIC_0014644.jpg ISIC_0015155.jpg ISIC_0015978.jpg ISIC_0012941.jpg ISIC_0014645.jpg ISIC_0015156.jpg ISIC_0015979.jpg ISIC_0012955.jpg ISIC_0014647.jpg ISIC_0015157.jpg ISIC_0015980.jpg ISIC_0012967.jpg ISIC_0014648.jpg ISIC_0015160.jpg ISIC_0015981.jpg ISIC_0012974.jpg ISIC_0014649.jpg ISIC_0015161.jpg ISIC_0015982.jpg ISIC_0012989.jpg ISIC_0014652.jpg ISIC_0015163.jpg ISIC_0015983.jpg ISIC_0013030.jpg ISIC_0014653.jpg ISIC_0015167.jpg ISIC_0015984.jpg ISIC_0013035.jpg ISIC_0014663.jpg ISIC_0015171.jpg ISIC_0015985.jpg ISIC_0013045.jpg ISIC_0014666.jpg ISIC_0015173.jpg ISIC_0015986.jpg ISIC_0013070.jpg ISIC_0014675.jpg ISIC_0015174.jpg ISIC_0015987.jpg ISIC_0013072.jpg ISIC_0014677.jpg ISIC_0015175.jpg ISIC_0015988.jpg ISIC_0013073.jpg ISIC_0014687.jpg ISIC_0015176.jpg ISIC_0015989.jpg ISIC_0013085.jpg ISIC_0014693.jpg ISIC_0015179.jpg ISIC_0015990.jpg ISIC_0013109.jpg ISIC_0014695.jpg ISIC_0015180.jpg ISIC_0015991.jpg ISIC_0013159.jpg ISIC_0014697.jpg ISIC_0015184.jpg ISIC_0015992.jpg ISIC_0013164.jpg ISIC_0014698.jpg ISIC_0015185.jpg ISIC_0015993.jpg ISIC_0013169.jpg ISIC_0014703.jpg ISIC_0015193.jpg ISIC_0015994.jpg ISIC_0013170.jpg ISIC_0014720.jpg ISIC_0015201.jpg ISIC_0015995.jpg ISIC_0013176.jpg ISIC_0014725.jpg ISIC_0015202.jpg ISIC_0015996.jpg ISIC_0013191.jpg ISIC_0014727.jpg ISIC_0015203.jpg ISIC_0015997.jpg ISIC_0013203.jpg ISIC_0014728.jpg ISIC_0015206.jpg ISIC_0015998.jpg ISIC_0013216.jpg ISIC_0014729.jpg ISIC_0015207.jpg ISIC_0015999.jpg ISIC_0013226.jpg ISIC_0014740.jpg ISIC_0015208.jpg ISIC_0016000.jpg ISIC_0013230.jpg ISIC_0014743.jpg ISIC_0015212.jpg ISIC_0016001.jpg ISIC_0013242.jpg ISIC_0014746.jpg ISIC_0015215.jpg ISIC_0016002.jpg ISIC_0013269.jpg ISIC_0014749.jpg ISIC_0015216.jpg ISIC_0016003.jpg ISIC_0013270.jpg ISIC_0014753.jpg ISIC_0015217.jpg ISIC_0016004.jpg ISIC_0013271.jpg ISIC_0014755.jpg ISIC_0015218.jpg ISIC_0016005.jpg ISIC_0013277.jpg ISIC_0014765.jpg ISIC_0015223.jpg ISIC_0016006.jpg ISIC_0013281.jpg ISIC_0014766.jpg ISIC_0015224.jpg ISIC_0016007.jpg ISIC_0013291.jpg ISIC_0014768.jpg ISIC_0015226.jpg ISIC_0016008.jpg ISIC_0013319.jpg ISIC_0014772.jpg ISIC_0015229.jpg ISIC_0016009.jpg ISIC_0013321.jpg ISIC_0014773.jpg ISIC_0015232.jpg ISIC_0016011.jpg ISIC_0013325.jpg ISIC_0014780.jpg ISIC_0015237.jpg ISIC_0016012.jpg ISIC_0013374.jpg ISIC_0014784.jpg ISIC_0015241.jpg ISIC_0016013.jpg ISIC_0013393.jpg ISIC_0014786.jpg ISIC_0015244.jpg ISIC_0016014.jpg ISIC_0013399.jpg ISIC_0014787.jpg ISIC_0015245.jpg ISIC_0016015.jpg ISIC_0013411.jpg ISIC_0014790.jpg ISIC_0015250.jpg ISIC_0016016.jpg ISIC_0013414.jpg ISIC_0014792.jpg ISIC_0015251.jpg ISIC_0016017.jpg ISIC_0013416.jpg ISIC_0014796.jpg ISIC_0015254.jpg ISIC_0016018.jpg ISIC_0013455.jpg ISIC_0014798.jpg ISIC_0015255.jpg ISIC_0016019.jpg ISIC_0013457.jpg ISIC_0014800.jpg ISIC_0015258.jpg ISIC_0016022.jpg ISIC_0013459.jpg ISIC_0014807.jpg ISIC_0015264.jpg ISIC_0016023.jpg ISIC_0013465.jpg ISIC_0014814.jpg ISIC_0015270.jpg ISIC_0016024.jpg ISIC_0013472.jpg ISIC_0014815.jpg ISIC_0015273.jpg ISIC_0016025.jpg ISIC_0013473.jpg ISIC_0014820.jpg ISIC_0015274.jpg ISIC_0016026.jpg ISIC_0013511.jpg ISIC_0014822.jpg ISIC_0015276.jpg ISIC_0016027.jpg ISIC_0013512.jpg ISIC_0014826.jpg ISIC_0015279.jpg ISIC_0016028.jpg ISIC_0013529.jpg ISIC_0014833.jpg ISIC_0015283.jpg ISIC_0016029.jpg ISIC_0013565.jpg ISIC_0014835.jpg ISIC_0015291.jpg ISIC_0016030.jpg ISIC_0013577.jpg ISIC_0014844.jpg ISIC_0015293.jpg ISIC_0016031.jpg ISIC_0013588.jpg ISIC_0014853.jpg ISIC_0015298.jpg ISIC_0016033.jpg ISIC_0013600.jpg ISIC_0014854.jpg ISIC_0015309.jpg ISIC_0016034.jpg ISIC_0013602.jpg ISIC_0014862.jpg ISIC_0015310.jpg ISIC_0016035.jpg ISIC_0013615.jpg ISIC_0014863.jpg ISIC_0015311.jpg ISIC_0016036.jpg ISIC_0013617.jpg ISIC_0014867.jpg ISIC_0015312.jpg ISIC_0016037.jpg ISIC_0013636.jpg ISIC_0014868.jpg ISIC_0015330.jpg ISIC_0016038.jpg ISIC_0013673.jpg ISIC_0014872.jpg ISIC_0015331.jpg ISIC_0016040.jpg ISIC_0013678.jpg ISIC_0014876.jpg ISIC_0015347.jpg ISIC_0016041.jpg ISIC_0013696.jpg ISIC_0014879.jpg ISIC_0015353.jpg ISIC_0016042.jpg ISIC_0013708.jpg ISIC_0014883.jpg ISIC_0015355.jpg ISIC_0016043.jpg ISIC_0013733.jpg ISIC_0014901.jpg ISIC_0015357.jpg ISIC_0016044.jpg ISIC_0013738.jpg ISIC_0014907.jpg ISIC_0015360.jpg ISIC_0016045.jpg ISIC_0013739.jpg ISIC_0014910.jpg ISIC_0015363.jpg ISIC_0016046.jpg ISIC_0013764.jpg ISIC_0014912.jpg ISIC_0015364.jpg ISIC_0016048.jpg ISIC_0013766.jpg ISIC_0014921.jpg ISIC_0015368.jpg ISIC_0016049.jpg ISIC_0013767.jpg ISIC_0014927.jpg ISIC_0015369.jpg ISIC_0016050.jpg ISIC_0013794.jpg ISIC_0014928.jpg ISIC_0015383.jpg ISIC_0016051.jpg ISIC_0013809.jpg ISIC_0014932.jpg ISIC_0015386.jpg ISIC_0016052.jpg ISIC_0013813.jpg ISIC_0014936.jpg ISIC_0015390.jpg ISIC_0016053.jpg ISIC_0013814.jpg ISIC_0014938.jpg ISIC_0015395.jpg ISIC_0016054.jpg ISIC_0013833.jpg ISIC_0014940.jpg ISIC_0015403.jpg ISIC_0016055.jpg ISIC_0013842.jpg ISIC_0014941.jpg ISIC_0015404.jpg ISIC_0016056.jpg ISIC_0013867.jpg ISIC_0014942.jpg ISIC_0015411.jpg ISIC_0016057.jpg ISIC_0013891.jpg ISIC_0014943.jpg ISIC_0015412.jpg ISIC_0016058.jpg ISIC_0013897.jpg ISIC_0014944.jpg ISIC_0015416.jpg ISIC_0016059.jpg ISIC_0013908.jpg ISIC_0014947.jpg ISIC_0015417.jpg ISIC_0016060.jpg ISIC_0013911.jpg ISIC_0014948.jpg ISIC_0015418.jpg ISIC_0016061.jpg ISIC_0013917.jpg ISIC_0014949.jpg ISIC_0015419.jpg ISIC_0016062.jpg ISIC_0013925.jpg ISIC_0014952.jpg ISIC_0015436.jpg ISIC_0016063.jpg ISIC_0013948.jpg ISIC_0014955.jpg ISIC_0015440.jpg ISIC_0016064.jpg ISIC_0013953.jpg ISIC_0014956.jpg ISIC_0015447.jpg ISIC_0016065.jpg ISIC_0013966.jpg ISIC_0014957.jpg ISIC_0015455.jpg ISIC_0016066.jpg ISIC_0013977.jpg ISIC_0014958.jpg ISIC_0015464.jpg ISIC_0016068.jpg ISIC_0013987.jpg ISIC_0014959.jpg ISIC_0015466.jpg ISIC_0016069.jpg ISIC_0013988.jpg ISIC_0014961.jpg ISIC_0015468.jpg ISIC_0016070.jpg ISIC_0013998.jpg ISIC_0014962.jpg ISIC_0015476.jpg ISIC_0016071.jpg ISIC_0014006.jpg ISIC_0014963.jpg ISIC_0015481.jpg ISIC_0016072.jpg
# pre-process the data for Keras
# Training Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Training_Data/Data Images JPG
# os.path.join(folder, file)
dt = os.walk('/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG')
test_files = []
for root, d_names, f_names in dt:
for filename in f_names:
test_files.append(os.path.join(root, filename))
len(test_files)
600
test_files
['/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0012095.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0012092.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0012086.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0012215.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0012240.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0012207.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0012216.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0012149.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 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'/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016016.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016018.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016024.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016017.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016023.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016013.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016030.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016033.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016034.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016025.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016028.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016027.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016026.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016029.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016031.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016035.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016041.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016038.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016036.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016043.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016046.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016037.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016045.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016044.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016040.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016042.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016048.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016059.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016054.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016057.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016052.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016055.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016058.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016051.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016049.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016053.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016050.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016056.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016070.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016063.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016065.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016062.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016069.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016072.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016064.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016060.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016061.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016071.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016068.jpg', '/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016066.jpg']
# test_tensors = paths_to_tensor(test_files).astype('float32')/255
# Saving the data
# np.save("/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved image tensors/augmented_training_tensors.npy", train_tensors)
# np.save("/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved image tensors/augmented_validation_tensors.npy", valid_tensors)
# np.save("/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved image tensors/augmented_testing_tensors.npy", test_tensors)
# Loading the data
train_tensors = np.load("/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved image tensors/augmented_training_tensors.npy")
valid_tensors = np.load("/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved image tensors/augmented_validation_tensors.npy")
test_tensors = np.load("/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved image tensors/augmented_testing_tensors.npy")
# Checking of the Tensor have loaded into the model
if train_tensors.any():
print("\nTraining tensor is loaded into the model")
else:
print("\nTraining tensor is not loaded into the model")
if valid_tensors.any():
print("\nValidation tensor is loaded into the model")
else:
print("\nValidation tensor is not loaded into the model")
if test_tensors.any():
print("\nTesting tensor is loaded into the model")
else:
print("\nTesting tensor is not loaded into the model")
Training tensor is loaded into the model Validation tensor is loaded into the model Testing tensor is loaded into the model
Working Flowhcart:
def mobilenet_architecture():
"""
Pre-build architecture of mobilenet for our dataset.
"""
# Imprting the model
from keras.applications.mobilenet import MobileNet
# Pre-build model
base_model = MobileNet(include_top = False, weights = None, input_shape = (512, 512, 3))
# Adding output layers
x = base_model.output
x = GlobalAveragePooling2D()(x)
output = Dense(units = 2, activation = 'softmax')(x)
# Creating the whole model
mobilenet_model = Model(base_model.input, output)
# Getting the summary of architecture
mobilenet_model.summary()
# Compiling the model
mobilenet_model.compile(optimizer = keras.optimizers.Adam(lr = 0.001),
loss = 'categorical_crossentropy',
metrics = ['accuracy'])
return mobilenet_model
# Getting the mobilenet
mobilenet_model = mobilenet_architecture()
Model: "model" _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= input_1 (InputLayer) [(None, 512, 512, 3)] 0 _________________________________________________________________ conv1 (Conv2D) (None, 256, 256, 32) 864 _________________________________________________________________ conv1_bn (BatchNormalization (None, 256, 256, 32) 128 _________________________________________________________________ conv1_relu (ReLU) (None, 256, 256, 32) 0 _________________________________________________________________ conv_dw_1 (DepthwiseConv2D) (None, 256, 256, 32) 288 _________________________________________________________________ conv_dw_1_bn (BatchNormaliza (None, 256, 256, 32) 128 _________________________________________________________________ conv_dw_1_relu (ReLU) (None, 256, 256, 32) 0 _________________________________________________________________ conv_pw_1 (Conv2D) (None, 256, 256, 64) 2048 _________________________________________________________________ conv_pw_1_bn (BatchNormaliza (None, 256, 256, 64) 256 _________________________________________________________________ conv_pw_1_relu (ReLU) (None, 256, 256, 64) 0 _________________________________________________________________ conv_pad_2 (ZeroPadding2D) (None, 257, 257, 64) 0 _________________________________________________________________ conv_dw_2 (DepthwiseConv2D) (None, 128, 128, 64) 576 _________________________________________________________________ conv_dw_2_bn (BatchNormaliza (None, 128, 128, 64) 256 _________________________________________________________________ conv_dw_2_relu (ReLU) (None, 128, 128, 64) 0 _________________________________________________________________ conv_pw_2 (Conv2D) (None, 128, 128, 128) 8192 _________________________________________________________________ conv_pw_2_bn (BatchNormaliza (None, 128, 128, 128) 512 _________________________________________________________________ conv_pw_2_relu (ReLU) (None, 128, 128, 128) 0 _________________________________________________________________ conv_dw_3 (DepthwiseConv2D) (None, 128, 128, 128) 1152 _________________________________________________________________ conv_dw_3_bn (BatchNormaliza (None, 128, 128, 128) 512 _________________________________________________________________ conv_dw_3_relu (ReLU) (None, 128, 128, 128) 0 _________________________________________________________________ conv_pw_3 (Conv2D) (None, 128, 128, 128) 16384 _________________________________________________________________ conv_pw_3_bn (BatchNormaliza (None, 128, 128, 128) 512 _________________________________________________________________ conv_pw_3_relu (ReLU) (None, 128, 128, 128) 0 _________________________________________________________________ conv_pad_4 (ZeroPadding2D) (None, 129, 129, 128) 0 _________________________________________________________________ conv_dw_4 (DepthwiseConv2D) (None, 64, 64, 128) 1152 _________________________________________________________________ conv_dw_4_bn (BatchNormaliza (None, 64, 64, 128) 512 _________________________________________________________________ conv_dw_4_relu (ReLU) (None, 64, 64, 128) 0 _________________________________________________________________ conv_pw_4 (Conv2D) (None, 64, 64, 256) 32768 _________________________________________________________________ conv_pw_4_bn (BatchNormaliza (None, 64, 64, 256) 1024 _________________________________________________________________ conv_pw_4_relu (ReLU) (None, 64, 64, 256) 0 _________________________________________________________________ conv_dw_5 (DepthwiseConv2D) (None, 64, 64, 256) 2304 _________________________________________________________________ conv_dw_5_bn (BatchNormaliza (None, 64, 64, 256) 1024 _________________________________________________________________ conv_dw_5_relu (ReLU) (None, 64, 64, 256) 0 _________________________________________________________________ conv_pw_5 (Conv2D) (None, 64, 64, 256) 65536 _________________________________________________________________ conv_pw_5_bn (BatchNormaliza (None, 64, 64, 256) 1024 _________________________________________________________________ conv_pw_5_relu (ReLU) (None, 64, 64, 256) 0 _________________________________________________________________ conv_pad_6 (ZeroPadding2D) (None, 65, 65, 256) 0 _________________________________________________________________ conv_dw_6 (DepthwiseConv2D) (None, 32, 32, 256) 2304 _________________________________________________________________ conv_dw_6_bn (BatchNormaliza (None, 32, 32, 256) 1024 _________________________________________________________________ conv_dw_6_relu (ReLU) (None, 32, 32, 256) 0 _________________________________________________________________ conv_pw_6 (Conv2D) (None, 32, 32, 512) 131072 _________________________________________________________________ conv_pw_6_bn (BatchNormaliza (None, 32, 32, 512) 2048 _________________________________________________________________ conv_pw_6_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_dw_7 (DepthwiseConv2D) (None, 32, 32, 512) 4608 _________________________________________________________________ conv_dw_7_bn (BatchNormaliza (None, 32, 32, 512) 2048 _________________________________________________________________ conv_dw_7_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_pw_7 (Conv2D) (None, 32, 32, 512) 262144 _________________________________________________________________ conv_pw_7_bn (BatchNormaliza (None, 32, 32, 512) 2048 _________________________________________________________________ conv_pw_7_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_dw_8 (DepthwiseConv2D) (None, 32, 32, 512) 4608 _________________________________________________________________ conv_dw_8_bn (BatchNormaliza (None, 32, 32, 512) 2048 _________________________________________________________________ conv_dw_8_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_pw_8 (Conv2D) (None, 32, 32, 512) 262144 _________________________________________________________________ conv_pw_8_bn (BatchNormaliza (None, 32, 32, 512) 2048 _________________________________________________________________ conv_pw_8_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_dw_9 (DepthwiseConv2D) (None, 32, 32, 512) 4608 _________________________________________________________________ conv_dw_9_bn (BatchNormaliza (None, 32, 32, 512) 2048 _________________________________________________________________ conv_dw_9_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_pw_9 (Conv2D) (None, 32, 32, 512) 262144 _________________________________________________________________ conv_pw_9_bn (BatchNormaliza (None, 32, 32, 512) 2048 _________________________________________________________________ conv_pw_9_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_dw_10 (DepthwiseConv2D) (None, 32, 32, 512) 4608 _________________________________________________________________ conv_dw_10_bn (BatchNormaliz (None, 32, 32, 512) 2048 _________________________________________________________________ conv_dw_10_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_pw_10 (Conv2D) (None, 32, 32, 512) 262144 _________________________________________________________________ conv_pw_10_bn (BatchNormaliz (None, 32, 32, 512) 2048 _________________________________________________________________ conv_pw_10_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_dw_11 (DepthwiseConv2D) (None, 32, 32, 512) 4608 _________________________________________________________________ conv_dw_11_bn (BatchNormaliz (None, 32, 32, 512) 2048 _________________________________________________________________ conv_dw_11_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_pw_11 (Conv2D) (None, 32, 32, 512) 262144 _________________________________________________________________ conv_pw_11_bn (BatchNormaliz (None, 32, 32, 512) 2048 _________________________________________________________________ conv_pw_11_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_pad_12 (ZeroPadding2D) (None, 33, 33, 512) 0 _________________________________________________________________ conv_dw_12 (DepthwiseConv2D) (None, 16, 16, 512) 4608 _________________________________________________________________ conv_dw_12_bn (BatchNormaliz (None, 16, 16, 512) 2048 _________________________________________________________________ conv_dw_12_relu (ReLU) (None, 16, 16, 512) 0 _________________________________________________________________ conv_pw_12 (Conv2D) (None, 16, 16, 1024) 524288 _________________________________________________________________ conv_pw_12_bn (BatchNormaliz (None, 16, 16, 1024) 4096 _________________________________________________________________ conv_pw_12_relu (ReLU) (None, 16, 16, 1024) 0 _________________________________________________________________ conv_dw_13 (DepthwiseConv2D) (None, 16, 16, 1024) 9216 _________________________________________________________________ conv_dw_13_bn (BatchNormaliz (None, 16, 16, 1024) 4096 _________________________________________________________________ conv_dw_13_relu (ReLU) (None, 16, 16, 1024) 0 _________________________________________________________________ conv_pw_13 (Conv2D) (None, 16, 16, 1024) 1048576 _________________________________________________________________ conv_pw_13_bn (BatchNormaliz (None, 16, 16, 1024) 4096 _________________________________________________________________ conv_pw_13_relu (ReLU) (None, 16, 16, 1024) 0 _________________________________________________________________ global_average_pooling2d (Gl (None, 1024) 0 _________________________________________________________________ dense (Dense) (None, 2) 2050 ================================================================= Total params: 3,230,914 Trainable params: 3,209,026 Non-trainable params: 21,888 _________________________________________________________________
checkpointer = ModelCheckpoint(filepath='/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5',
verbose=1,
save_best_only=True)
mobilenet_model.fit(train_tensors,
train_targets,
batch_size = 8,
validation_data = (valid_tensors, valid_targets),
epochs = 5,
callbacks=[checkpointer],
verbose=1)
Epoch 1/5 250/250 [==============================] - 69s 204ms/step - loss: 0.6440 - accuracy: 0.7509 - val_loss: 0.6711 - val_accuracy: 0.8000 Epoch 00001: val_loss improved from inf to 0.67107, saving model to /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Epoch 2/5 250/250 [==============================] - 50s 202ms/step - loss: 0.5240 - accuracy: 0.8091 - val_loss: 0.5315 - val_accuracy: 0.8000 Epoch 00002: val_loss improved from 0.67107 to 0.53154, saving model to /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Epoch 3/5 250/250 [==============================] - 50s 201ms/step - loss: 0.5162 - accuracy: 0.7989 - val_loss: 0.5374 - val_accuracy: 0.8000 Epoch 00003: val_loss did not improve from 0.53154 Epoch 4/5 250/250 [==============================] - 50s 201ms/step - loss: 0.4957 - accuracy: 0.8112 - val_loss: 0.5716 - val_accuracy: 0.8000 Epoch 00004: val_loss did not improve from 0.53154 Epoch 5/5 250/250 [==============================] - 50s 200ms/step - loss: 0.5017 - accuracy: 0.8094 - val_loss: 0.5513 - val_accuracy: 0.7867 Epoch 00005: val_loss did not improve from 0.53154
<tensorflow.python.keras.callbacks.History at 0x7fb5c81b3290>
# Loading the weights
mobilenet_model.load_weights("/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5")
def inception_architecture():
"""
Pre-build architecture of inception for our dataset.
"""
# Imprting the model
from keras.applications.inception_v3 import InceptionV3
# Pre-build model
base_model = InceptionV3(include_top = False, weights = None, input_shape = (512, 512, 3))
# Adding output layers
x = base_model.output
x = GlobalAveragePooling2D()(x)
output = Dense(units = 2, activation = 'softmax')(x)
# Creating the whole model
inception_model = Model(base_model.input, output)
# Summary of the model
inception_model.summary()
# Compiling the model
inception_model.compile(optimizer = keras.optimizers.Adam(lr = 0.001),
loss = 'categorical_crossentropy',
metrics = ['accuracy'])
return inception_model
# Getting the inception
inception_model = inception_architecture()
Model: "model_1"
__________________________________________________________________________________________________
Layer (type) Output Shape Param # Connected to
==================================================================================================
input_2 (InputLayer) [(None, 512, 512, 3) 0
__________________________________________________________________________________________________
conv2d (Conv2D) (None, 255, 255, 32) 864 input_2[0][0]
__________________________________________________________________________________________________
batch_normalization (BatchNorma (None, 255, 255, 32) 96 conv2d[0][0]
__________________________________________________________________________________________________
activation (Activation) (None, 255, 255, 32) 0 batch_normalization[0][0]
__________________________________________________________________________________________________
conv2d_1 (Conv2D) (None, 253, 253, 32) 9216 activation[0][0]
__________________________________________________________________________________________________
batch_normalization_1 (BatchNor (None, 253, 253, 32) 96 conv2d_1[0][0]
__________________________________________________________________________________________________
activation_1 (Activation) (None, 253, 253, 32) 0 batch_normalization_1[0][0]
__________________________________________________________________________________________________
conv2d_2 (Conv2D) (None, 253, 253, 64) 18432 activation_1[0][0]
__________________________________________________________________________________________________
batch_normalization_2 (BatchNor (None, 253, 253, 64) 192 conv2d_2[0][0]
__________________________________________________________________________________________________
activation_2 (Activation) (None, 253, 253, 64) 0 batch_normalization_2[0][0]
__________________________________________________________________________________________________
max_pooling2d (MaxPooling2D) (None, 126, 126, 64) 0 activation_2[0][0]
__________________________________________________________________________________________________
conv2d_3 (Conv2D) (None, 126, 126, 80) 5120 max_pooling2d[0][0]
__________________________________________________________________________________________________
batch_normalization_3 (BatchNor (None, 126, 126, 80) 240 conv2d_3[0][0]
__________________________________________________________________________________________________
activation_3 (Activation) (None, 126, 126, 80) 0 batch_normalization_3[0][0]
__________________________________________________________________________________________________
conv2d_4 (Conv2D) (None, 124, 124, 192 138240 activation_3[0][0]
__________________________________________________________________________________________________
batch_normalization_4 (BatchNor (None, 124, 124, 192 576 conv2d_4[0][0]
__________________________________________________________________________________________________
activation_4 (Activation) (None, 124, 124, 192 0 batch_normalization_4[0][0]
__________________________________________________________________________________________________
max_pooling2d_1 (MaxPooling2D) (None, 61, 61, 192) 0 activation_4[0][0]
__________________________________________________________________________________________________
conv2d_8 (Conv2D) (None, 61, 61, 64) 12288 max_pooling2d_1[0][0]
__________________________________________________________________________________________________
batch_normalization_8 (BatchNor (None, 61, 61, 64) 192 conv2d_8[0][0]
__________________________________________________________________________________________________
activation_8 (Activation) (None, 61, 61, 64) 0 batch_normalization_8[0][0]
__________________________________________________________________________________________________
conv2d_6 (Conv2D) (None, 61, 61, 48) 9216 max_pooling2d_1[0][0]
__________________________________________________________________________________________________
conv2d_9 (Conv2D) (None, 61, 61, 96) 55296 activation_8[0][0]
__________________________________________________________________________________________________
batch_normalization_6 (BatchNor (None, 61, 61, 48) 144 conv2d_6[0][0]
__________________________________________________________________________________________________
batch_normalization_9 (BatchNor (None, 61, 61, 96) 288 conv2d_9[0][0]
__________________________________________________________________________________________________
activation_6 (Activation) (None, 61, 61, 48) 0 batch_normalization_6[0][0]
__________________________________________________________________________________________________
activation_9 (Activation) (None, 61, 61, 96) 0 batch_normalization_9[0][0]
__________________________________________________________________________________________________
average_pooling2d (AveragePooli (None, 61, 61, 192) 0 max_pooling2d_1[0][0]
__________________________________________________________________________________________________
conv2d_5 (Conv2D) (None, 61, 61, 64) 12288 max_pooling2d_1[0][0]
__________________________________________________________________________________________________
conv2d_7 (Conv2D) (None, 61, 61, 64) 76800 activation_6[0][0]
__________________________________________________________________________________________________
conv2d_10 (Conv2D) (None, 61, 61, 96) 82944 activation_9[0][0]
__________________________________________________________________________________________________
conv2d_11 (Conv2D) (None, 61, 61, 32) 6144 average_pooling2d[0][0]
__________________________________________________________________________________________________
batch_normalization_5 (BatchNor (None, 61, 61, 64) 192 conv2d_5[0][0]
__________________________________________________________________________________________________
batch_normalization_7 (BatchNor (None, 61, 61, 64) 192 conv2d_7[0][0]
__________________________________________________________________________________________________
batch_normalization_10 (BatchNo (None, 61, 61, 96) 288 conv2d_10[0][0]
__________________________________________________________________________________________________
batch_normalization_11 (BatchNo (None, 61, 61, 32) 96 conv2d_11[0][0]
__________________________________________________________________________________________________
activation_5 (Activation) (None, 61, 61, 64) 0 batch_normalization_5[0][0]
__________________________________________________________________________________________________
activation_7 (Activation) (None, 61, 61, 64) 0 batch_normalization_7[0][0]
__________________________________________________________________________________________________
activation_10 (Activation) (None, 61, 61, 96) 0 batch_normalization_10[0][0]
__________________________________________________________________________________________________
activation_11 (Activation) (None, 61, 61, 32) 0 batch_normalization_11[0][0]
__________________________________________________________________________________________________
mixed0 (Concatenate) (None, 61, 61, 256) 0 activation_5[0][0]
activation_7[0][0]
activation_10[0][0]
activation_11[0][0]
__________________________________________________________________________________________________
conv2d_15 (Conv2D) (None, 61, 61, 64) 16384 mixed0[0][0]
__________________________________________________________________________________________________
batch_normalization_15 (BatchNo (None, 61, 61, 64) 192 conv2d_15[0][0]
__________________________________________________________________________________________________
activation_15 (Activation) (None, 61, 61, 64) 0 batch_normalization_15[0][0]
__________________________________________________________________________________________________
conv2d_13 (Conv2D) (None, 61, 61, 48) 12288 mixed0[0][0]
__________________________________________________________________________________________________
conv2d_16 (Conv2D) (None, 61, 61, 96) 55296 activation_15[0][0]
__________________________________________________________________________________________________
batch_normalization_13 (BatchNo (None, 61, 61, 48) 144 conv2d_13[0][0]
__________________________________________________________________________________________________
batch_normalization_16 (BatchNo (None, 61, 61, 96) 288 conv2d_16[0][0]
__________________________________________________________________________________________________
activation_13 (Activation) (None, 61, 61, 48) 0 batch_normalization_13[0][0]
__________________________________________________________________________________________________
activation_16 (Activation) (None, 61, 61, 96) 0 batch_normalization_16[0][0]
__________________________________________________________________________________________________
average_pooling2d_1 (AveragePoo (None, 61, 61, 256) 0 mixed0[0][0]
__________________________________________________________________________________________________
conv2d_12 (Conv2D) (None, 61, 61, 64) 16384 mixed0[0][0]
__________________________________________________________________________________________________
conv2d_14 (Conv2D) (None, 61, 61, 64) 76800 activation_13[0][0]
__________________________________________________________________________________________________
conv2d_17 (Conv2D) (None, 61, 61, 96) 82944 activation_16[0][0]
__________________________________________________________________________________________________
conv2d_18 (Conv2D) (None, 61, 61, 64) 16384 average_pooling2d_1[0][0]
__________________________________________________________________________________________________
batch_normalization_12 (BatchNo (None, 61, 61, 64) 192 conv2d_12[0][0]
__________________________________________________________________________________________________
batch_normalization_14 (BatchNo (None, 61, 61, 64) 192 conv2d_14[0][0]
__________________________________________________________________________________________________
batch_normalization_17 (BatchNo (None, 61, 61, 96) 288 conv2d_17[0][0]
__________________________________________________________________________________________________
batch_normalization_18 (BatchNo (None, 61, 61, 64) 192 conv2d_18[0][0]
__________________________________________________________________________________________________
activation_12 (Activation) (None, 61, 61, 64) 0 batch_normalization_12[0][0]
__________________________________________________________________________________________________
activation_14 (Activation) (None, 61, 61, 64) 0 batch_normalization_14[0][0]
__________________________________________________________________________________________________
activation_17 (Activation) (None, 61, 61, 96) 0 batch_normalization_17[0][0]
__________________________________________________________________________________________________
activation_18 (Activation) (None, 61, 61, 64) 0 batch_normalization_18[0][0]
__________________________________________________________________________________________________
mixed1 (Concatenate) (None, 61, 61, 288) 0 activation_12[0][0]
activation_14[0][0]
activation_17[0][0]
activation_18[0][0]
__________________________________________________________________________________________________
conv2d_22 (Conv2D) (None, 61, 61, 64) 18432 mixed1[0][0]
__________________________________________________________________________________________________
batch_normalization_22 (BatchNo (None, 61, 61, 64) 192 conv2d_22[0][0]
__________________________________________________________________________________________________
activation_22 (Activation) (None, 61, 61, 64) 0 batch_normalization_22[0][0]
__________________________________________________________________________________________________
conv2d_20 (Conv2D) (None, 61, 61, 48) 13824 mixed1[0][0]
__________________________________________________________________________________________________
conv2d_23 (Conv2D) (None, 61, 61, 96) 55296 activation_22[0][0]
__________________________________________________________________________________________________
batch_normalization_20 (BatchNo (None, 61, 61, 48) 144 conv2d_20[0][0]
__________________________________________________________________________________________________
batch_normalization_23 (BatchNo (None, 61, 61, 96) 288 conv2d_23[0][0]
__________________________________________________________________________________________________
activation_20 (Activation) (None, 61, 61, 48) 0 batch_normalization_20[0][0]
__________________________________________________________________________________________________
activation_23 (Activation) (None, 61, 61, 96) 0 batch_normalization_23[0][0]
__________________________________________________________________________________________________
average_pooling2d_2 (AveragePoo (None, 61, 61, 288) 0 mixed1[0][0]
__________________________________________________________________________________________________
conv2d_19 (Conv2D) (None, 61, 61, 64) 18432 mixed1[0][0]
__________________________________________________________________________________________________
conv2d_21 (Conv2D) (None, 61, 61, 64) 76800 activation_20[0][0]
__________________________________________________________________________________________________
conv2d_24 (Conv2D) (None, 61, 61, 96) 82944 activation_23[0][0]
__________________________________________________________________________________________________
conv2d_25 (Conv2D) (None, 61, 61, 64) 18432 average_pooling2d_2[0][0]
__________________________________________________________________________________________________
batch_normalization_19 (BatchNo (None, 61, 61, 64) 192 conv2d_19[0][0]
__________________________________________________________________________________________________
batch_normalization_21 (BatchNo (None, 61, 61, 64) 192 conv2d_21[0][0]
__________________________________________________________________________________________________
batch_normalization_24 (BatchNo (None, 61, 61, 96) 288 conv2d_24[0][0]
__________________________________________________________________________________________________
batch_normalization_25 (BatchNo (None, 61, 61, 64) 192 conv2d_25[0][0]
__________________________________________________________________________________________________
activation_19 (Activation) (None, 61, 61, 64) 0 batch_normalization_19[0][0]
__________________________________________________________________________________________________
activation_21 (Activation) (None, 61, 61, 64) 0 batch_normalization_21[0][0]
__________________________________________________________________________________________________
activation_24 (Activation) (None, 61, 61, 96) 0 batch_normalization_24[0][0]
__________________________________________________________________________________________________
activation_25 (Activation) (None, 61, 61, 64) 0 batch_normalization_25[0][0]
__________________________________________________________________________________________________
mixed2 (Concatenate) (None, 61, 61, 288) 0 activation_19[0][0]
activation_21[0][0]
activation_24[0][0]
activation_25[0][0]
__________________________________________________________________________________________________
conv2d_27 (Conv2D) (None, 61, 61, 64) 18432 mixed2[0][0]
__________________________________________________________________________________________________
batch_normalization_27 (BatchNo (None, 61, 61, 64) 192 conv2d_27[0][0]
__________________________________________________________________________________________________
activation_27 (Activation) (None, 61, 61, 64) 0 batch_normalization_27[0][0]
__________________________________________________________________________________________________
conv2d_28 (Conv2D) (None, 61, 61, 96) 55296 activation_27[0][0]
__________________________________________________________________________________________________
batch_normalization_28 (BatchNo (None, 61, 61, 96) 288 conv2d_28[0][0]
__________________________________________________________________________________________________
activation_28 (Activation) (None, 61, 61, 96) 0 batch_normalization_28[0][0]
__________________________________________________________________________________________________
conv2d_26 (Conv2D) (None, 30, 30, 384) 995328 mixed2[0][0]
__________________________________________________________________________________________________
conv2d_29 (Conv2D) (None, 30, 30, 96) 82944 activation_28[0][0]
__________________________________________________________________________________________________
batch_normalization_26 (BatchNo (None, 30, 30, 384) 1152 conv2d_26[0][0]
__________________________________________________________________________________________________
batch_normalization_29 (BatchNo (None, 30, 30, 96) 288 conv2d_29[0][0]
__________________________________________________________________________________________________
activation_26 (Activation) (None, 30, 30, 384) 0 batch_normalization_26[0][0]
__________________________________________________________________________________________________
activation_29 (Activation) (None, 30, 30, 96) 0 batch_normalization_29[0][0]
__________________________________________________________________________________________________
max_pooling2d_2 (MaxPooling2D) (None, 30, 30, 288) 0 mixed2[0][0]
__________________________________________________________________________________________________
mixed3 (Concatenate) (None, 30, 30, 768) 0 activation_26[0][0]
activation_29[0][0]
max_pooling2d_2[0][0]
__________________________________________________________________________________________________
conv2d_34 (Conv2D) (None, 30, 30, 128) 98304 mixed3[0][0]
__________________________________________________________________________________________________
batch_normalization_34 (BatchNo (None, 30, 30, 128) 384 conv2d_34[0][0]
__________________________________________________________________________________________________
activation_34 (Activation) (None, 30, 30, 128) 0 batch_normalization_34[0][0]
__________________________________________________________________________________________________
conv2d_35 (Conv2D) (None, 30, 30, 128) 114688 activation_34[0][0]
__________________________________________________________________________________________________
batch_normalization_35 (BatchNo (None, 30, 30, 128) 384 conv2d_35[0][0]
__________________________________________________________________________________________________
activation_35 (Activation) (None, 30, 30, 128) 0 batch_normalization_35[0][0]
__________________________________________________________________________________________________
conv2d_31 (Conv2D) (None, 30, 30, 128) 98304 mixed3[0][0]
__________________________________________________________________________________________________
conv2d_36 (Conv2D) (None, 30, 30, 128) 114688 activation_35[0][0]
__________________________________________________________________________________________________
batch_normalization_31 (BatchNo (None, 30, 30, 128) 384 conv2d_31[0][0]
__________________________________________________________________________________________________
batch_normalization_36 (BatchNo (None, 30, 30, 128) 384 conv2d_36[0][0]
__________________________________________________________________________________________________
activation_31 (Activation) (None, 30, 30, 128) 0 batch_normalization_31[0][0]
__________________________________________________________________________________________________
activation_36 (Activation) (None, 30, 30, 128) 0 batch_normalization_36[0][0]
__________________________________________________________________________________________________
conv2d_32 (Conv2D) (None, 30, 30, 128) 114688 activation_31[0][0]
__________________________________________________________________________________________________
conv2d_37 (Conv2D) (None, 30, 30, 128) 114688 activation_36[0][0]
__________________________________________________________________________________________________
batch_normalization_32 (BatchNo (None, 30, 30, 128) 384 conv2d_32[0][0]
__________________________________________________________________________________________________
batch_normalization_37 (BatchNo (None, 30, 30, 128) 384 conv2d_37[0][0]
__________________________________________________________________________________________________
activation_32 (Activation) (None, 30, 30, 128) 0 batch_normalization_32[0][0]
__________________________________________________________________________________________________
activation_37 (Activation) (None, 30, 30, 128) 0 batch_normalization_37[0][0]
__________________________________________________________________________________________________
average_pooling2d_3 (AveragePoo (None, 30, 30, 768) 0 mixed3[0][0]
__________________________________________________________________________________________________
conv2d_30 (Conv2D) (None, 30, 30, 192) 147456 mixed3[0][0]
__________________________________________________________________________________________________
conv2d_33 (Conv2D) (None, 30, 30, 192) 172032 activation_32[0][0]
__________________________________________________________________________________________________
conv2d_38 (Conv2D) (None, 30, 30, 192) 172032 activation_37[0][0]
__________________________________________________________________________________________________
conv2d_39 (Conv2D) (None, 30, 30, 192) 147456 average_pooling2d_3[0][0]
__________________________________________________________________________________________________
batch_normalization_30 (BatchNo (None, 30, 30, 192) 576 conv2d_30[0][0]
__________________________________________________________________________________________________
batch_normalization_33 (BatchNo (None, 30, 30, 192) 576 conv2d_33[0][0]
__________________________________________________________________________________________________
batch_normalization_38 (BatchNo (None, 30, 30, 192) 576 conv2d_38[0][0]
__________________________________________________________________________________________________
batch_normalization_39 (BatchNo (None, 30, 30, 192) 576 conv2d_39[0][0]
__________________________________________________________________________________________________
activation_30 (Activation) (None, 30, 30, 192) 0 batch_normalization_30[0][0]
__________________________________________________________________________________________________
activation_33 (Activation) (None, 30, 30, 192) 0 batch_normalization_33[0][0]
__________________________________________________________________________________________________
activation_38 (Activation) (None, 30, 30, 192) 0 batch_normalization_38[0][0]
__________________________________________________________________________________________________
activation_39 (Activation) (None, 30, 30, 192) 0 batch_normalization_39[0][0]
__________________________________________________________________________________________________
mixed4 (Concatenate) (None, 30, 30, 768) 0 activation_30[0][0]
activation_33[0][0]
activation_38[0][0]
activation_39[0][0]
__________________________________________________________________________________________________
conv2d_44 (Conv2D) (None, 30, 30, 160) 122880 mixed4[0][0]
__________________________________________________________________________________________________
batch_normalization_44 (BatchNo (None, 30, 30, 160) 480 conv2d_44[0][0]
__________________________________________________________________________________________________
activation_44 (Activation) (None, 30, 30, 160) 0 batch_normalization_44[0][0]
__________________________________________________________________________________________________
conv2d_45 (Conv2D) (None, 30, 30, 160) 179200 activation_44[0][0]
__________________________________________________________________________________________________
batch_normalization_45 (BatchNo (None, 30, 30, 160) 480 conv2d_45[0][0]
__________________________________________________________________________________________________
activation_45 (Activation) (None, 30, 30, 160) 0 batch_normalization_45[0][0]
__________________________________________________________________________________________________
conv2d_41 (Conv2D) (None, 30, 30, 160) 122880 mixed4[0][0]
__________________________________________________________________________________________________
conv2d_46 (Conv2D) (None, 30, 30, 160) 179200 activation_45[0][0]
__________________________________________________________________________________________________
batch_normalization_41 (BatchNo (None, 30, 30, 160) 480 conv2d_41[0][0]
__________________________________________________________________________________________________
batch_normalization_46 (BatchNo (None, 30, 30, 160) 480 conv2d_46[0][0]
__________________________________________________________________________________________________
activation_41 (Activation) (None, 30, 30, 160) 0 batch_normalization_41[0][0]
__________________________________________________________________________________________________
activation_46 (Activation) (None, 30, 30, 160) 0 batch_normalization_46[0][0]
__________________________________________________________________________________________________
conv2d_42 (Conv2D) (None, 30, 30, 160) 179200 activation_41[0][0]
__________________________________________________________________________________________________
conv2d_47 (Conv2D) (None, 30, 30, 160) 179200 activation_46[0][0]
__________________________________________________________________________________________________
batch_normalization_42 (BatchNo (None, 30, 30, 160) 480 conv2d_42[0][0]
__________________________________________________________________________________________________
batch_normalization_47 (BatchNo (None, 30, 30, 160) 480 conv2d_47[0][0]
__________________________________________________________________________________________________
activation_42 (Activation) (None, 30, 30, 160) 0 batch_normalization_42[0][0]
__________________________________________________________________________________________________
activation_47 (Activation) (None, 30, 30, 160) 0 batch_normalization_47[0][0]
__________________________________________________________________________________________________
average_pooling2d_4 (AveragePoo (None, 30, 30, 768) 0 mixed4[0][0]
__________________________________________________________________________________________________
conv2d_40 (Conv2D) (None, 30, 30, 192) 147456 mixed4[0][0]
__________________________________________________________________________________________________
conv2d_43 (Conv2D) (None, 30, 30, 192) 215040 activation_42[0][0]
__________________________________________________________________________________________________
conv2d_48 (Conv2D) (None, 30, 30, 192) 215040 activation_47[0][0]
__________________________________________________________________________________________________
conv2d_49 (Conv2D) (None, 30, 30, 192) 147456 average_pooling2d_4[0][0]
__________________________________________________________________________________________________
batch_normalization_40 (BatchNo (None, 30, 30, 192) 576 conv2d_40[0][0]
__________________________________________________________________________________________________
batch_normalization_43 (BatchNo (None, 30, 30, 192) 576 conv2d_43[0][0]
__________________________________________________________________________________________________
batch_normalization_48 (BatchNo (None, 30, 30, 192) 576 conv2d_48[0][0]
__________________________________________________________________________________________________
batch_normalization_49 (BatchNo (None, 30, 30, 192) 576 conv2d_49[0][0]
__________________________________________________________________________________________________
activation_40 (Activation) (None, 30, 30, 192) 0 batch_normalization_40[0][0]
__________________________________________________________________________________________________
activation_43 (Activation) (None, 30, 30, 192) 0 batch_normalization_43[0][0]
__________________________________________________________________________________________________
activation_48 (Activation) (None, 30, 30, 192) 0 batch_normalization_48[0][0]
__________________________________________________________________________________________________
activation_49 (Activation) (None, 30, 30, 192) 0 batch_normalization_49[0][0]
__________________________________________________________________________________________________
mixed5 (Concatenate) (None, 30, 30, 768) 0 activation_40[0][0]
activation_43[0][0]
activation_48[0][0]
activation_49[0][0]
__________________________________________________________________________________________________
conv2d_54 (Conv2D) (None, 30, 30, 160) 122880 mixed5[0][0]
__________________________________________________________________________________________________
batch_normalization_54 (BatchNo (None, 30, 30, 160) 480 conv2d_54[0][0]
__________________________________________________________________________________________________
activation_54 (Activation) (None, 30, 30, 160) 0 batch_normalization_54[0][0]
__________________________________________________________________________________________________
conv2d_55 (Conv2D) (None, 30, 30, 160) 179200 activation_54[0][0]
__________________________________________________________________________________________________
batch_normalization_55 (BatchNo (None, 30, 30, 160) 480 conv2d_55[0][0]
__________________________________________________________________________________________________
activation_55 (Activation) (None, 30, 30, 160) 0 batch_normalization_55[0][0]
__________________________________________________________________________________________________
conv2d_51 (Conv2D) (None, 30, 30, 160) 122880 mixed5[0][0]
__________________________________________________________________________________________________
conv2d_56 (Conv2D) (None, 30, 30, 160) 179200 activation_55[0][0]
__________________________________________________________________________________________________
batch_normalization_51 (BatchNo (None, 30, 30, 160) 480 conv2d_51[0][0]
__________________________________________________________________________________________________
batch_normalization_56 (BatchNo (None, 30, 30, 160) 480 conv2d_56[0][0]
__________________________________________________________________________________________________
activation_51 (Activation) (None, 30, 30, 160) 0 batch_normalization_51[0][0]
__________________________________________________________________________________________________
activation_56 (Activation) (None, 30, 30, 160) 0 batch_normalization_56[0][0]
__________________________________________________________________________________________________
conv2d_52 (Conv2D) (None, 30, 30, 160) 179200 activation_51[0][0]
__________________________________________________________________________________________________
conv2d_57 (Conv2D) (None, 30, 30, 160) 179200 activation_56[0][0]
__________________________________________________________________________________________________
batch_normalization_52 (BatchNo (None, 30, 30, 160) 480 conv2d_52[0][0]
__________________________________________________________________________________________________
batch_normalization_57 (BatchNo (None, 30, 30, 160) 480 conv2d_57[0][0]
__________________________________________________________________________________________________
activation_52 (Activation) (None, 30, 30, 160) 0 batch_normalization_52[0][0]
__________________________________________________________________________________________________
activation_57 (Activation) (None, 30, 30, 160) 0 batch_normalization_57[0][0]
__________________________________________________________________________________________________
average_pooling2d_5 (AveragePoo (None, 30, 30, 768) 0 mixed5[0][0]
__________________________________________________________________________________________________
conv2d_50 (Conv2D) (None, 30, 30, 192) 147456 mixed5[0][0]
__________________________________________________________________________________________________
conv2d_53 (Conv2D) (None, 30, 30, 192) 215040 activation_52[0][0]
__________________________________________________________________________________________________
conv2d_58 (Conv2D) (None, 30, 30, 192) 215040 activation_57[0][0]
__________________________________________________________________________________________________
conv2d_59 (Conv2D) (None, 30, 30, 192) 147456 average_pooling2d_5[0][0]
__________________________________________________________________________________________________
batch_normalization_50 (BatchNo (None, 30, 30, 192) 576 conv2d_50[0][0]
__________________________________________________________________________________________________
batch_normalization_53 (BatchNo (None, 30, 30, 192) 576 conv2d_53[0][0]
__________________________________________________________________________________________________
batch_normalization_58 (BatchNo (None, 30, 30, 192) 576 conv2d_58[0][0]
__________________________________________________________________________________________________
batch_normalization_59 (BatchNo (None, 30, 30, 192) 576 conv2d_59[0][0]
__________________________________________________________________________________________________
activation_50 (Activation) (None, 30, 30, 192) 0 batch_normalization_50[0][0]
__________________________________________________________________________________________________
activation_53 (Activation) (None, 30, 30, 192) 0 batch_normalization_53[0][0]
__________________________________________________________________________________________________
activation_58 (Activation) (None, 30, 30, 192) 0 batch_normalization_58[0][0]
__________________________________________________________________________________________________
activation_59 (Activation) (None, 30, 30, 192) 0 batch_normalization_59[0][0]
__________________________________________________________________________________________________
mixed6 (Concatenate) (None, 30, 30, 768) 0 activation_50[0][0]
activation_53[0][0]
activation_58[0][0]
activation_59[0][0]
__________________________________________________________________________________________________
conv2d_64 (Conv2D) (None, 30, 30, 192) 147456 mixed6[0][0]
__________________________________________________________________________________________________
batch_normalization_64 (BatchNo (None, 30, 30, 192) 576 conv2d_64[0][0]
__________________________________________________________________________________________________
activation_64 (Activation) (None, 30, 30, 192) 0 batch_normalization_64[0][0]
__________________________________________________________________________________________________
conv2d_65 (Conv2D) (None, 30, 30, 192) 258048 activation_64[0][0]
__________________________________________________________________________________________________
batch_normalization_65 (BatchNo (None, 30, 30, 192) 576 conv2d_65[0][0]
__________________________________________________________________________________________________
activation_65 (Activation) (None, 30, 30, 192) 0 batch_normalization_65[0][0]
__________________________________________________________________________________________________
conv2d_61 (Conv2D) (None, 30, 30, 192) 147456 mixed6[0][0]
__________________________________________________________________________________________________
conv2d_66 (Conv2D) (None, 30, 30, 192) 258048 activation_65[0][0]
__________________________________________________________________________________________________
batch_normalization_61 (BatchNo (None, 30, 30, 192) 576 conv2d_61[0][0]
__________________________________________________________________________________________________
batch_normalization_66 (BatchNo (None, 30, 30, 192) 576 conv2d_66[0][0]
__________________________________________________________________________________________________
activation_61 (Activation) (None, 30, 30, 192) 0 batch_normalization_61[0][0]
__________________________________________________________________________________________________
activation_66 (Activation) (None, 30, 30, 192) 0 batch_normalization_66[0][0]
__________________________________________________________________________________________________
conv2d_62 (Conv2D) (None, 30, 30, 192) 258048 activation_61[0][0]
__________________________________________________________________________________________________
conv2d_67 (Conv2D) (None, 30, 30, 192) 258048 activation_66[0][0]
__________________________________________________________________________________________________
batch_normalization_62 (BatchNo (None, 30, 30, 192) 576 conv2d_62[0][0]
__________________________________________________________________________________________________
batch_normalization_67 (BatchNo (None, 30, 30, 192) 576 conv2d_67[0][0]
__________________________________________________________________________________________________
activation_62 (Activation) (None, 30, 30, 192) 0 batch_normalization_62[0][0]
__________________________________________________________________________________________________
activation_67 (Activation) (None, 30, 30, 192) 0 batch_normalization_67[0][0]
__________________________________________________________________________________________________
average_pooling2d_6 (AveragePoo (None, 30, 30, 768) 0 mixed6[0][0]
__________________________________________________________________________________________________
conv2d_60 (Conv2D) (None, 30, 30, 192) 147456 mixed6[0][0]
__________________________________________________________________________________________________
conv2d_63 (Conv2D) (None, 30, 30, 192) 258048 activation_62[0][0]
__________________________________________________________________________________________________
conv2d_68 (Conv2D) (None, 30, 30, 192) 258048 activation_67[0][0]
__________________________________________________________________________________________________
conv2d_69 (Conv2D) (None, 30, 30, 192) 147456 average_pooling2d_6[0][0]
__________________________________________________________________________________________________
batch_normalization_60 (BatchNo (None, 30, 30, 192) 576 conv2d_60[0][0]
__________________________________________________________________________________________________
batch_normalization_63 (BatchNo (None, 30, 30, 192) 576 conv2d_63[0][0]
__________________________________________________________________________________________________
batch_normalization_68 (BatchNo (None, 30, 30, 192) 576 conv2d_68[0][0]
__________________________________________________________________________________________________
batch_normalization_69 (BatchNo (None, 30, 30, 192) 576 conv2d_69[0][0]
__________________________________________________________________________________________________
activation_60 (Activation) (None, 30, 30, 192) 0 batch_normalization_60[0][0]
__________________________________________________________________________________________________
activation_63 (Activation) (None, 30, 30, 192) 0 batch_normalization_63[0][0]
__________________________________________________________________________________________________
activation_68 (Activation) (None, 30, 30, 192) 0 batch_normalization_68[0][0]
__________________________________________________________________________________________________
activation_69 (Activation) (None, 30, 30, 192) 0 batch_normalization_69[0][0]
__________________________________________________________________________________________________
mixed7 (Concatenate) (None, 30, 30, 768) 0 activation_60[0][0]
activation_63[0][0]
activation_68[0][0]
activation_69[0][0]
__________________________________________________________________________________________________
conv2d_72 (Conv2D) (None, 30, 30, 192) 147456 mixed7[0][0]
__________________________________________________________________________________________________
batch_normalization_72 (BatchNo (None, 30, 30, 192) 576 conv2d_72[0][0]
__________________________________________________________________________________________________
activation_72 (Activation) (None, 30, 30, 192) 0 batch_normalization_72[0][0]
__________________________________________________________________________________________________
conv2d_73 (Conv2D) (None, 30, 30, 192) 258048 activation_72[0][0]
__________________________________________________________________________________________________
batch_normalization_73 (BatchNo (None, 30, 30, 192) 576 conv2d_73[0][0]
__________________________________________________________________________________________________
activation_73 (Activation) (None, 30, 30, 192) 0 batch_normalization_73[0][0]
__________________________________________________________________________________________________
conv2d_70 (Conv2D) (None, 30, 30, 192) 147456 mixed7[0][0]
__________________________________________________________________________________________________
conv2d_74 (Conv2D) (None, 30, 30, 192) 258048 activation_73[0][0]
__________________________________________________________________________________________________
batch_normalization_70 (BatchNo (None, 30, 30, 192) 576 conv2d_70[0][0]
__________________________________________________________________________________________________
batch_normalization_74 (BatchNo (None, 30, 30, 192) 576 conv2d_74[0][0]
__________________________________________________________________________________________________
activation_70 (Activation) (None, 30, 30, 192) 0 batch_normalization_70[0][0]
__________________________________________________________________________________________________
activation_74 (Activation) (None, 30, 30, 192) 0 batch_normalization_74[0][0]
__________________________________________________________________________________________________
conv2d_71 (Conv2D) (None, 14, 14, 320) 552960 activation_70[0][0]
__________________________________________________________________________________________________
conv2d_75 (Conv2D) (None, 14, 14, 192) 331776 activation_74[0][0]
__________________________________________________________________________________________________
batch_normalization_71 (BatchNo (None, 14, 14, 320) 960 conv2d_71[0][0]
__________________________________________________________________________________________________
batch_normalization_75 (BatchNo (None, 14, 14, 192) 576 conv2d_75[0][0]
__________________________________________________________________________________________________
activation_71 (Activation) (None, 14, 14, 320) 0 batch_normalization_71[0][0]
__________________________________________________________________________________________________
activation_75 (Activation) (None, 14, 14, 192) 0 batch_normalization_75[0][0]
__________________________________________________________________________________________________
max_pooling2d_3 (MaxPooling2D) (None, 14, 14, 768) 0 mixed7[0][0]
__________________________________________________________________________________________________
mixed8 (Concatenate) (None, 14, 14, 1280) 0 activation_71[0][0]
activation_75[0][0]
max_pooling2d_3[0][0]
__________________________________________________________________________________________________
conv2d_80 (Conv2D) (None, 14, 14, 448) 573440 mixed8[0][0]
__________________________________________________________________________________________________
batch_normalization_80 (BatchNo (None, 14, 14, 448) 1344 conv2d_80[0][0]
__________________________________________________________________________________________________
activation_80 (Activation) (None, 14, 14, 448) 0 batch_normalization_80[0][0]
__________________________________________________________________________________________________
conv2d_77 (Conv2D) (None, 14, 14, 384) 491520 mixed8[0][0]
__________________________________________________________________________________________________
conv2d_81 (Conv2D) (None, 14, 14, 384) 1548288 activation_80[0][0]
__________________________________________________________________________________________________
batch_normalization_77 (BatchNo (None, 14, 14, 384) 1152 conv2d_77[0][0]
__________________________________________________________________________________________________
batch_normalization_81 (BatchNo (None, 14, 14, 384) 1152 conv2d_81[0][0]
__________________________________________________________________________________________________
activation_77 (Activation) (None, 14, 14, 384) 0 batch_normalization_77[0][0]
__________________________________________________________________________________________________
activation_81 (Activation) (None, 14, 14, 384) 0 batch_normalization_81[0][0]
__________________________________________________________________________________________________
conv2d_78 (Conv2D) (None, 14, 14, 384) 442368 activation_77[0][0]
__________________________________________________________________________________________________
conv2d_79 (Conv2D) (None, 14, 14, 384) 442368 activation_77[0][0]
__________________________________________________________________________________________________
conv2d_82 (Conv2D) (None, 14, 14, 384) 442368 activation_81[0][0]
__________________________________________________________________________________________________
conv2d_83 (Conv2D) (None, 14, 14, 384) 442368 activation_81[0][0]
__________________________________________________________________________________________________
average_pooling2d_7 (AveragePoo (None, 14, 14, 1280) 0 mixed8[0][0]
__________________________________________________________________________________________________
conv2d_76 (Conv2D) (None, 14, 14, 320) 409600 mixed8[0][0]
__________________________________________________________________________________________________
batch_normalization_78 (BatchNo (None, 14, 14, 384) 1152 conv2d_78[0][0]
__________________________________________________________________________________________________
batch_normalization_79 (BatchNo (None, 14, 14, 384) 1152 conv2d_79[0][0]
__________________________________________________________________________________________________
batch_normalization_82 (BatchNo (None, 14, 14, 384) 1152 conv2d_82[0][0]
__________________________________________________________________________________________________
batch_normalization_83 (BatchNo (None, 14, 14, 384) 1152 conv2d_83[0][0]
__________________________________________________________________________________________________
conv2d_84 (Conv2D) (None, 14, 14, 192) 245760 average_pooling2d_7[0][0]
__________________________________________________________________________________________________
batch_normalization_76 (BatchNo (None, 14, 14, 320) 960 conv2d_76[0][0]
__________________________________________________________________________________________________
activation_78 (Activation) (None, 14, 14, 384) 0 batch_normalization_78[0][0]
__________________________________________________________________________________________________
activation_79 (Activation) (None, 14, 14, 384) 0 batch_normalization_79[0][0]
__________________________________________________________________________________________________
activation_82 (Activation) (None, 14, 14, 384) 0 batch_normalization_82[0][0]
__________________________________________________________________________________________________
activation_83 (Activation) (None, 14, 14, 384) 0 batch_normalization_83[0][0]
__________________________________________________________________________________________________
batch_normalization_84 (BatchNo (None, 14, 14, 192) 576 conv2d_84[0][0]
__________________________________________________________________________________________________
activation_76 (Activation) (None, 14, 14, 320) 0 batch_normalization_76[0][0]
__________________________________________________________________________________________________
mixed9_0 (Concatenate) (None, 14, 14, 768) 0 activation_78[0][0]
activation_79[0][0]
__________________________________________________________________________________________________
concatenate (Concatenate) (None, 14, 14, 768) 0 activation_82[0][0]
activation_83[0][0]
__________________________________________________________________________________________________
activation_84 (Activation) (None, 14, 14, 192) 0 batch_normalization_84[0][0]
__________________________________________________________________________________________________
mixed9 (Concatenate) (None, 14, 14, 2048) 0 activation_76[0][0]
mixed9_0[0][0]
concatenate[0][0]
activation_84[0][0]
__________________________________________________________________________________________________
conv2d_89 (Conv2D) (None, 14, 14, 448) 917504 mixed9[0][0]
__________________________________________________________________________________________________
batch_normalization_89 (BatchNo (None, 14, 14, 448) 1344 conv2d_89[0][0]
__________________________________________________________________________________________________
activation_89 (Activation) (None, 14, 14, 448) 0 batch_normalization_89[0][0]
__________________________________________________________________________________________________
conv2d_86 (Conv2D) (None, 14, 14, 384) 786432 mixed9[0][0]
__________________________________________________________________________________________________
conv2d_90 (Conv2D) (None, 14, 14, 384) 1548288 activation_89[0][0]
__________________________________________________________________________________________________
batch_normalization_86 (BatchNo (None, 14, 14, 384) 1152 conv2d_86[0][0]
__________________________________________________________________________________________________
batch_normalization_90 (BatchNo (None, 14, 14, 384) 1152 conv2d_90[0][0]
__________________________________________________________________________________________________
activation_86 (Activation) (None, 14, 14, 384) 0 batch_normalization_86[0][0]
__________________________________________________________________________________________________
activation_90 (Activation) (None, 14, 14, 384) 0 batch_normalization_90[0][0]
__________________________________________________________________________________________________
conv2d_87 (Conv2D) (None, 14, 14, 384) 442368 activation_86[0][0]
__________________________________________________________________________________________________
conv2d_88 (Conv2D) (None, 14, 14, 384) 442368 activation_86[0][0]
__________________________________________________________________________________________________
conv2d_91 (Conv2D) (None, 14, 14, 384) 442368 activation_90[0][0]
__________________________________________________________________________________________________
conv2d_92 (Conv2D) (None, 14, 14, 384) 442368 activation_90[0][0]
__________________________________________________________________________________________________
average_pooling2d_8 (AveragePoo (None, 14, 14, 2048) 0 mixed9[0][0]
__________________________________________________________________________________________________
conv2d_85 (Conv2D) (None, 14, 14, 320) 655360 mixed9[0][0]
__________________________________________________________________________________________________
batch_normalization_87 (BatchNo (None, 14, 14, 384) 1152 conv2d_87[0][0]
__________________________________________________________________________________________________
batch_normalization_88 (BatchNo (None, 14, 14, 384) 1152 conv2d_88[0][0]
__________________________________________________________________________________________________
batch_normalization_91 (BatchNo (None, 14, 14, 384) 1152 conv2d_91[0][0]
__________________________________________________________________________________________________
batch_normalization_92 (BatchNo (None, 14, 14, 384) 1152 conv2d_92[0][0]
__________________________________________________________________________________________________
conv2d_93 (Conv2D) (None, 14, 14, 192) 393216 average_pooling2d_8[0][0]
__________________________________________________________________________________________________
batch_normalization_85 (BatchNo (None, 14, 14, 320) 960 conv2d_85[0][0]
__________________________________________________________________________________________________
activation_87 (Activation) (None, 14, 14, 384) 0 batch_normalization_87[0][0]
__________________________________________________________________________________________________
activation_88 (Activation) (None, 14, 14, 384) 0 batch_normalization_88[0][0]
__________________________________________________________________________________________________
activation_91 (Activation) (None, 14, 14, 384) 0 batch_normalization_91[0][0]
__________________________________________________________________________________________________
activation_92 (Activation) (None, 14, 14, 384) 0 batch_normalization_92[0][0]
__________________________________________________________________________________________________
batch_normalization_93 (BatchNo (None, 14, 14, 192) 576 conv2d_93[0][0]
__________________________________________________________________________________________________
activation_85 (Activation) (None, 14, 14, 320) 0 batch_normalization_85[0][0]
__________________________________________________________________________________________________
mixed9_1 (Concatenate) (None, 14, 14, 768) 0 activation_87[0][0]
activation_88[0][0]
__________________________________________________________________________________________________
concatenate_1 (Concatenate) (None, 14, 14, 768) 0 activation_91[0][0]
activation_92[0][0]
__________________________________________________________________________________________________
activation_93 (Activation) (None, 14, 14, 192) 0 batch_normalization_93[0][0]
__________________________________________________________________________________________________
mixed10 (Concatenate) (None, 14, 14, 2048) 0 activation_85[0][0]
mixed9_1[0][0]
concatenate_1[0][0]
activation_93[0][0]
__________________________________________________________________________________________________
global_average_pooling2d_1 (Glo (None, 2048) 0 mixed10[0][0]
__________________________________________________________________________________________________
dense_1 (Dense) (None, 2) 4098 global_average_pooling2d_1[0][0]
==================================================================================================
Total params: 21,806,882
Trainable params: 21,772,450
Non-trainable params: 34,432
__________________________________________________________________________________________________
checkpointer = ModelCheckpoint(filepath='/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5',
verbose=1,
save_best_only=True)
inception_model.fit(train_tensors,
train_targets,
batch_size = 8,
validation_data = (valid_tensors, valid_targets),
epochs = 5,
callbacks=[checkpointer],
verbose=1)
Epoch 1/5 250/250 [==============================] - 60s 213ms/step - loss: 0.6399 - accuracy: 0.7821 - val_loss: 0.5253 - val_accuracy: 0.8000 Epoch 00001: val_loss improved from inf to 0.52525, saving model to /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5 Epoch 2/5 250/250 [==============================] - 52s 206ms/step - loss: 0.5277 - accuracy: 0.7978 - val_loss: 2.2813 - val_accuracy: 0.8000 Epoch 00002: val_loss did not improve from 0.52525 Epoch 3/5 250/250 [==============================] - 52s 207ms/step - loss: 0.5112 - accuracy: 0.8063 - val_loss: 7.3639 - val_accuracy: 0.4733 Epoch 00003: val_loss did not improve from 0.52525 Epoch 4/5 250/250 [==============================] - 52s 206ms/step - loss: 0.5073 - accuracy: 0.8089 - val_loss: 0.5995 - val_accuracy: 0.8000 Epoch 00004: val_loss did not improve from 0.52525 Epoch 5/5 250/250 [==============================] - 52s 206ms/step - loss: 0.5006 - accuracy: 0.8049 - val_loss: 1.9839 - val_accuracy: 0.8000 Epoch 00005: val_loss did not improve from 0.52525
<tensorflow.python.keras.callbacks.History at 0x7fb53a4fb190>
# Loading the weights
inception_model.load_weights("/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5")
def xception_architecture():
"""
Pre-build architecture of inception for our dataset.
"""
# Imprting the model
from keras.applications.xception import Xception
# Pre-build model
base_model = Xception(include_top = False, weights = None, input_shape = (512, 512, 3))
# Adding output layers
x = base_model.output
x = GlobalAveragePooling2D()(x)
output = Dense(units = 2, activation = 'softmax')(x)
# Creating the whole model
xception_model = Model(base_model.input, output)
# Summary of the model
xception_model.summary()
# Compiling the model
xception_model.compile(optimizer = keras.optimizers.Adam(lr = 0.001),
loss = 'categorical_crossentropy',
metrics = ['accuracy'])
return xception_model
# Getting the xception
xception_model = xception_architecture()
Model: "model_2"
__________________________________________________________________________________________________
Layer (type) Output Shape Param # Connected to
==================================================================================================
input_3 (InputLayer) [(None, 512, 512, 3) 0
__________________________________________________________________________________________________
block1_conv1 (Conv2D) (None, 255, 255, 32) 864 input_3[0][0]
__________________________________________________________________________________________________
block1_conv1_bn (BatchNormaliza (None, 255, 255, 32) 128 block1_conv1[0][0]
__________________________________________________________________________________________________
block1_conv1_act (Activation) (None, 255, 255, 32) 0 block1_conv1_bn[0][0]
__________________________________________________________________________________________________
block1_conv2 (Conv2D) (None, 253, 253, 64) 18432 block1_conv1_act[0][0]
__________________________________________________________________________________________________
block1_conv2_bn (BatchNormaliza (None, 253, 253, 64) 256 block1_conv2[0][0]
__________________________________________________________________________________________________
block1_conv2_act (Activation) (None, 253, 253, 64) 0 block1_conv2_bn[0][0]
__________________________________________________________________________________________________
block2_sepconv1 (SeparableConv2 (None, 253, 253, 128 8768 block1_conv2_act[0][0]
__________________________________________________________________________________________________
block2_sepconv1_bn (BatchNormal (None, 253, 253, 128 512 block2_sepconv1[0][0]
__________________________________________________________________________________________________
block2_sepconv2_act (Activation (None, 253, 253, 128 0 block2_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block2_sepconv2 (SeparableConv2 (None, 253, 253, 128 17536 block2_sepconv2_act[0][0]
__________________________________________________________________________________________________
block2_sepconv2_bn (BatchNormal (None, 253, 253, 128 512 block2_sepconv2[0][0]
__________________________________________________________________________________________________
conv2d_94 (Conv2D) (None, 127, 127, 128 8192 block1_conv2_act[0][0]
__________________________________________________________________________________________________
block2_pool (MaxPooling2D) (None, 127, 127, 128 0 block2_sepconv2_bn[0][0]
__________________________________________________________________________________________________
batch_normalization_94 (BatchNo (None, 127, 127, 128 512 conv2d_94[0][0]
__________________________________________________________________________________________________
add (Add) (None, 127, 127, 128 0 block2_pool[0][0]
batch_normalization_94[0][0]
__________________________________________________________________________________________________
block3_sepconv1_act (Activation (None, 127, 127, 128 0 add[0][0]
__________________________________________________________________________________________________
block3_sepconv1 (SeparableConv2 (None, 127, 127, 256 33920 block3_sepconv1_act[0][0]
__________________________________________________________________________________________________
block3_sepconv1_bn (BatchNormal (None, 127, 127, 256 1024 block3_sepconv1[0][0]
__________________________________________________________________________________________________
block3_sepconv2_act (Activation (None, 127, 127, 256 0 block3_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block3_sepconv2 (SeparableConv2 (None, 127, 127, 256 67840 block3_sepconv2_act[0][0]
__________________________________________________________________________________________________
block3_sepconv2_bn (BatchNormal (None, 127, 127, 256 1024 block3_sepconv2[0][0]
__________________________________________________________________________________________________
conv2d_95 (Conv2D) (None, 64, 64, 256) 32768 add[0][0]
__________________________________________________________________________________________________
block3_pool (MaxPooling2D) (None, 64, 64, 256) 0 block3_sepconv2_bn[0][0]
__________________________________________________________________________________________________
batch_normalization_95 (BatchNo (None, 64, 64, 256) 1024 conv2d_95[0][0]
__________________________________________________________________________________________________
add_1 (Add) (None, 64, 64, 256) 0 block3_pool[0][0]
batch_normalization_95[0][0]
__________________________________________________________________________________________________
block4_sepconv1_act (Activation (None, 64, 64, 256) 0 add_1[0][0]
__________________________________________________________________________________________________
block4_sepconv1 (SeparableConv2 (None, 64, 64, 728) 188672 block4_sepconv1_act[0][0]
__________________________________________________________________________________________________
block4_sepconv1_bn (BatchNormal (None, 64, 64, 728) 2912 block4_sepconv1[0][0]
__________________________________________________________________________________________________
block4_sepconv2_act (Activation (None, 64, 64, 728) 0 block4_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block4_sepconv2 (SeparableConv2 (None, 64, 64, 728) 536536 block4_sepconv2_act[0][0]
__________________________________________________________________________________________________
block4_sepconv2_bn (BatchNormal (None, 64, 64, 728) 2912 block4_sepconv2[0][0]
__________________________________________________________________________________________________
conv2d_96 (Conv2D) (None, 32, 32, 728) 186368 add_1[0][0]
__________________________________________________________________________________________________
block4_pool (MaxPooling2D) (None, 32, 32, 728) 0 block4_sepconv2_bn[0][0]
__________________________________________________________________________________________________
batch_normalization_96 (BatchNo (None, 32, 32, 728) 2912 conv2d_96[0][0]
__________________________________________________________________________________________________
add_2 (Add) (None, 32, 32, 728) 0 block4_pool[0][0]
batch_normalization_96[0][0]
__________________________________________________________________________________________________
block5_sepconv1_act (Activation (None, 32, 32, 728) 0 add_2[0][0]
__________________________________________________________________________________________________
block5_sepconv1 (SeparableConv2 (None, 32, 32, 728) 536536 block5_sepconv1_act[0][0]
__________________________________________________________________________________________________
block5_sepconv1_bn (BatchNormal (None, 32, 32, 728) 2912 block5_sepconv1[0][0]
__________________________________________________________________________________________________
block5_sepconv2_act (Activation (None, 32, 32, 728) 0 block5_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block5_sepconv2 (SeparableConv2 (None, 32, 32, 728) 536536 block5_sepconv2_act[0][0]
__________________________________________________________________________________________________
block5_sepconv2_bn (BatchNormal (None, 32, 32, 728) 2912 block5_sepconv2[0][0]
__________________________________________________________________________________________________
block5_sepconv3_act (Activation (None, 32, 32, 728) 0 block5_sepconv2_bn[0][0]
__________________________________________________________________________________________________
block5_sepconv3 (SeparableConv2 (None, 32, 32, 728) 536536 block5_sepconv3_act[0][0]
__________________________________________________________________________________________________
block5_sepconv3_bn (BatchNormal (None, 32, 32, 728) 2912 block5_sepconv3[0][0]
__________________________________________________________________________________________________
add_3 (Add) (None, 32, 32, 728) 0 block5_sepconv3_bn[0][0]
add_2[0][0]
__________________________________________________________________________________________________
block6_sepconv1_act (Activation (None, 32, 32, 728) 0 add_3[0][0]
__________________________________________________________________________________________________
block6_sepconv1 (SeparableConv2 (None, 32, 32, 728) 536536 block6_sepconv1_act[0][0]
__________________________________________________________________________________________________
block6_sepconv1_bn (BatchNormal (None, 32, 32, 728) 2912 block6_sepconv1[0][0]
__________________________________________________________________________________________________
block6_sepconv2_act (Activation (None, 32, 32, 728) 0 block6_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block6_sepconv2 (SeparableConv2 (None, 32, 32, 728) 536536 block6_sepconv2_act[0][0]
__________________________________________________________________________________________________
block6_sepconv2_bn (BatchNormal (None, 32, 32, 728) 2912 block6_sepconv2[0][0]
__________________________________________________________________________________________________
block6_sepconv3_act (Activation (None, 32, 32, 728) 0 block6_sepconv2_bn[0][0]
__________________________________________________________________________________________________
block6_sepconv3 (SeparableConv2 (None, 32, 32, 728) 536536 block6_sepconv3_act[0][0]
__________________________________________________________________________________________________
block6_sepconv3_bn (BatchNormal (None, 32, 32, 728) 2912 block6_sepconv3[0][0]
__________________________________________________________________________________________________
add_4 (Add) (None, 32, 32, 728) 0 block6_sepconv3_bn[0][0]
add_3[0][0]
__________________________________________________________________________________________________
block7_sepconv1_act (Activation (None, 32, 32, 728) 0 add_4[0][0]
__________________________________________________________________________________________________
block7_sepconv1 (SeparableConv2 (None, 32, 32, 728) 536536 block7_sepconv1_act[0][0]
__________________________________________________________________________________________________
block7_sepconv1_bn (BatchNormal (None, 32, 32, 728) 2912 block7_sepconv1[0][0]
__________________________________________________________________________________________________
block7_sepconv2_act (Activation (None, 32, 32, 728) 0 block7_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block7_sepconv2 (SeparableConv2 (None, 32, 32, 728) 536536 block7_sepconv2_act[0][0]
__________________________________________________________________________________________________
block7_sepconv2_bn (BatchNormal (None, 32, 32, 728) 2912 block7_sepconv2[0][0]
__________________________________________________________________________________________________
block7_sepconv3_act (Activation (None, 32, 32, 728) 0 block7_sepconv2_bn[0][0]
__________________________________________________________________________________________________
block7_sepconv3 (SeparableConv2 (None, 32, 32, 728) 536536 block7_sepconv3_act[0][0]
__________________________________________________________________________________________________
block7_sepconv3_bn (BatchNormal (None, 32, 32, 728) 2912 block7_sepconv3[0][0]
__________________________________________________________________________________________________
add_5 (Add) (None, 32, 32, 728) 0 block7_sepconv3_bn[0][0]
add_4[0][0]
__________________________________________________________________________________________________
block8_sepconv1_act (Activation (None, 32, 32, 728) 0 add_5[0][0]
__________________________________________________________________________________________________
block8_sepconv1 (SeparableConv2 (None, 32, 32, 728) 536536 block8_sepconv1_act[0][0]
__________________________________________________________________________________________________
block8_sepconv1_bn (BatchNormal (None, 32, 32, 728) 2912 block8_sepconv1[0][0]
__________________________________________________________________________________________________
block8_sepconv2_act (Activation (None, 32, 32, 728) 0 block8_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block8_sepconv2 (SeparableConv2 (None, 32, 32, 728) 536536 block8_sepconv2_act[0][0]
__________________________________________________________________________________________________
block8_sepconv2_bn (BatchNormal (None, 32, 32, 728) 2912 block8_sepconv2[0][0]
__________________________________________________________________________________________________
block8_sepconv3_act (Activation (None, 32, 32, 728) 0 block8_sepconv2_bn[0][0]
__________________________________________________________________________________________________
block8_sepconv3 (SeparableConv2 (None, 32, 32, 728) 536536 block8_sepconv3_act[0][0]
__________________________________________________________________________________________________
block8_sepconv3_bn (BatchNormal (None, 32, 32, 728) 2912 block8_sepconv3[0][0]
__________________________________________________________________________________________________
add_6 (Add) (None, 32, 32, 728) 0 block8_sepconv3_bn[0][0]
add_5[0][0]
__________________________________________________________________________________________________
block9_sepconv1_act (Activation (None, 32, 32, 728) 0 add_6[0][0]
__________________________________________________________________________________________________
block9_sepconv1 (SeparableConv2 (None, 32, 32, 728) 536536 block9_sepconv1_act[0][0]
__________________________________________________________________________________________________
block9_sepconv1_bn (BatchNormal (None, 32, 32, 728) 2912 block9_sepconv1[0][0]
__________________________________________________________________________________________________
block9_sepconv2_act (Activation (None, 32, 32, 728) 0 block9_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block9_sepconv2 (SeparableConv2 (None, 32, 32, 728) 536536 block9_sepconv2_act[0][0]
__________________________________________________________________________________________________
block9_sepconv2_bn (BatchNormal (None, 32, 32, 728) 2912 block9_sepconv2[0][0]
__________________________________________________________________________________________________
block9_sepconv3_act (Activation (None, 32, 32, 728) 0 block9_sepconv2_bn[0][0]
__________________________________________________________________________________________________
block9_sepconv3 (SeparableConv2 (None, 32, 32, 728) 536536 block9_sepconv3_act[0][0]
__________________________________________________________________________________________________
block9_sepconv3_bn (BatchNormal (None, 32, 32, 728) 2912 block9_sepconv3[0][0]
__________________________________________________________________________________________________
add_7 (Add) (None, 32, 32, 728) 0 block9_sepconv3_bn[0][0]
add_6[0][0]
__________________________________________________________________________________________________
block10_sepconv1_act (Activatio (None, 32, 32, 728) 0 add_7[0][0]
__________________________________________________________________________________________________
block10_sepconv1 (SeparableConv (None, 32, 32, 728) 536536 block10_sepconv1_act[0][0]
__________________________________________________________________________________________________
block10_sepconv1_bn (BatchNorma (None, 32, 32, 728) 2912 block10_sepconv1[0][0]
__________________________________________________________________________________________________
block10_sepconv2_act (Activatio (None, 32, 32, 728) 0 block10_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block10_sepconv2 (SeparableConv (None, 32, 32, 728) 536536 block10_sepconv2_act[0][0]
__________________________________________________________________________________________________
block10_sepconv2_bn (BatchNorma (None, 32, 32, 728) 2912 block10_sepconv2[0][0]
__________________________________________________________________________________________________
block10_sepconv3_act (Activatio (None, 32, 32, 728) 0 block10_sepconv2_bn[0][0]
__________________________________________________________________________________________________
block10_sepconv3 (SeparableConv (None, 32, 32, 728) 536536 block10_sepconv3_act[0][0]
__________________________________________________________________________________________________
block10_sepconv3_bn (BatchNorma (None, 32, 32, 728) 2912 block10_sepconv3[0][0]
__________________________________________________________________________________________________
add_8 (Add) (None, 32, 32, 728) 0 block10_sepconv3_bn[0][0]
add_7[0][0]
__________________________________________________________________________________________________
block11_sepconv1_act (Activatio (None, 32, 32, 728) 0 add_8[0][0]
__________________________________________________________________________________________________
block11_sepconv1 (SeparableConv (None, 32, 32, 728) 536536 block11_sepconv1_act[0][0]
__________________________________________________________________________________________________
block11_sepconv1_bn (BatchNorma (None, 32, 32, 728) 2912 block11_sepconv1[0][0]
__________________________________________________________________________________________________
block11_sepconv2_act (Activatio (None, 32, 32, 728) 0 block11_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block11_sepconv2 (SeparableConv (None, 32, 32, 728) 536536 block11_sepconv2_act[0][0]
__________________________________________________________________________________________________
block11_sepconv2_bn (BatchNorma (None, 32, 32, 728) 2912 block11_sepconv2[0][0]
__________________________________________________________________________________________________
block11_sepconv3_act (Activatio (None, 32, 32, 728) 0 block11_sepconv2_bn[0][0]
__________________________________________________________________________________________________
block11_sepconv3 (SeparableConv (None, 32, 32, 728) 536536 block11_sepconv3_act[0][0]
__________________________________________________________________________________________________
block11_sepconv3_bn (BatchNorma (None, 32, 32, 728) 2912 block11_sepconv3[0][0]
__________________________________________________________________________________________________
add_9 (Add) (None, 32, 32, 728) 0 block11_sepconv3_bn[0][0]
add_8[0][0]
__________________________________________________________________________________________________
block12_sepconv1_act (Activatio (None, 32, 32, 728) 0 add_9[0][0]
__________________________________________________________________________________________________
block12_sepconv1 (SeparableConv (None, 32, 32, 728) 536536 block12_sepconv1_act[0][0]
__________________________________________________________________________________________________
block12_sepconv1_bn (BatchNorma (None, 32, 32, 728) 2912 block12_sepconv1[0][0]
__________________________________________________________________________________________________
block12_sepconv2_act (Activatio (None, 32, 32, 728) 0 block12_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block12_sepconv2 (SeparableConv (None, 32, 32, 728) 536536 block12_sepconv2_act[0][0]
__________________________________________________________________________________________________
block12_sepconv2_bn (BatchNorma (None, 32, 32, 728) 2912 block12_sepconv2[0][0]
__________________________________________________________________________________________________
block12_sepconv3_act (Activatio (None, 32, 32, 728) 0 block12_sepconv2_bn[0][0]
__________________________________________________________________________________________________
block12_sepconv3 (SeparableConv (None, 32, 32, 728) 536536 block12_sepconv3_act[0][0]
__________________________________________________________________________________________________
block12_sepconv3_bn (BatchNorma (None, 32, 32, 728) 2912 block12_sepconv3[0][0]
__________________________________________________________________________________________________
add_10 (Add) (None, 32, 32, 728) 0 block12_sepconv3_bn[0][0]
add_9[0][0]
__________________________________________________________________________________________________
block13_sepconv1_act (Activatio (None, 32, 32, 728) 0 add_10[0][0]
__________________________________________________________________________________________________
block13_sepconv1 (SeparableConv (None, 32, 32, 728) 536536 block13_sepconv1_act[0][0]
__________________________________________________________________________________________________
block13_sepconv1_bn (BatchNorma (None, 32, 32, 728) 2912 block13_sepconv1[0][0]
__________________________________________________________________________________________________
block13_sepconv2_act (Activatio (None, 32, 32, 728) 0 block13_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block13_sepconv2 (SeparableConv (None, 32, 32, 1024) 752024 block13_sepconv2_act[0][0]
__________________________________________________________________________________________________
block13_sepconv2_bn (BatchNorma (None, 32, 32, 1024) 4096 block13_sepconv2[0][0]
__________________________________________________________________________________________________
conv2d_97 (Conv2D) (None, 16, 16, 1024) 745472 add_10[0][0]
__________________________________________________________________________________________________
block13_pool (MaxPooling2D) (None, 16, 16, 1024) 0 block13_sepconv2_bn[0][0]
__________________________________________________________________________________________________
batch_normalization_97 (BatchNo (None, 16, 16, 1024) 4096 conv2d_97[0][0]
__________________________________________________________________________________________________
add_11 (Add) (None, 16, 16, 1024) 0 block13_pool[0][0]
batch_normalization_97[0][0]
__________________________________________________________________________________________________
block14_sepconv1 (SeparableConv (None, 16, 16, 1536) 1582080 add_11[0][0]
__________________________________________________________________________________________________
block14_sepconv1_bn (BatchNorma (None, 16, 16, 1536) 6144 block14_sepconv1[0][0]
__________________________________________________________________________________________________
block14_sepconv1_act (Activatio (None, 16, 16, 1536) 0 block14_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block14_sepconv2 (SeparableConv (None, 16, 16, 2048) 3159552 block14_sepconv1_act[0][0]
__________________________________________________________________________________________________
block14_sepconv2_bn (BatchNorma (None, 16, 16, 2048) 8192 block14_sepconv2[0][0]
__________________________________________________________________________________________________
block14_sepconv2_act (Activatio (None, 16, 16, 2048) 0 block14_sepconv2_bn[0][0]
__________________________________________________________________________________________________
global_average_pooling2d_2 (Glo (None, 2048) 0 block14_sepconv2_act[0][0]
__________________________________________________________________________________________________
dense_2 (Dense) (None, 2) 4098 global_average_pooling2d_2[0][0]
==================================================================================================
Total params: 20,865,578
Trainable params: 20,811,050
Non-trainable params: 54,528
__________________________________________________________________________________________________
tensor_board = TensorBoard(log_dir='./logs', histogram_freq = 0, batch_size = 8)
checkpointer = ModelCheckpoint(filepath='/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5',
verbose=1,
save_best_only=True)
WARNING:tensorflow:`batch_size` is no longer needed in the `TensorBoard` Callback and will be ignored in TensorFlow 2.0.
xception_model.fit(train_tensors,
train_targets,
batch_size = 8,
validation_data = (valid_tensors, valid_targets),
epochs = 2,
callbacks=[checkpointer, tensor_board],
verbose=1)
Epoch 1/2 250/250 [==============================] - 145s 563ms/step - loss: 0.6487 - accuracy: 0.7724 - val_loss: 0.5900 - val_accuracy: 0.8000 Epoch 00001: val_loss improved from inf to 0.59001, saving model to /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5 Epoch 2/2 250/250 [==============================] - 139s 557ms/step - loss: 0.5342 - accuracy: 0.7933 - val_loss: 42.6197 - val_accuracy: 0.8000 Epoch 00002: val_loss did not improve from 0.59001
<tensorflow.python.keras.callbacks.History at 0x7fb53a3ced10>
# Loading the weights
xception_model.load_weights("/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5")
Working Flowchart:
predict_0_0 = 0
predict_0_1 = 0
model_architecture = None
weight_path = ""
def predict(img_path,
model_architecture = model_architecture,
path_model_weight = weight_path):
# Printing the information passed to the Predict Function
print("Image Path: "+img_path)
print("Arhitecture Used:")
print(model_architecture)
print("Path for Model Weights: ")
print(path_model_weight)
# Getting the tensor of image
image_to_predict = path_to_tensor(img_path).astype('float32')/255
# Getting the model's architecture
model = model_architecture
# Loading the weights
model.load_weights(path_model_weight)
# printing the weights
print("Model Weights: ")
print(model.load_weights(path_model_weight))
# Predicting
pred = model.predict(image_to_predict)
print("Prediction..." + " Melanoma : ", pred[0][0], " | Other : ", pred[0][1])
predict_0_0 = pred[0][0]
print("Predict "+predict_0_0)
predict_0_1 = pred[0][1]
print("Predict "+predict_0_1)
if np.argmax(pred) == 0:
return [1., 0.]
elif np.argmax(pred) == 1:
return [0., 1.]
model_architecture = mobilenet_architecture()
weight_path = "/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5"
Model: "model_3" _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= input_4 (InputLayer) [(None, 512, 512, 3)] 0 _________________________________________________________________ conv1 (Conv2D) (None, 256, 256, 32) 864 _________________________________________________________________ conv1_bn (BatchNormalization (None, 256, 256, 32) 128 _________________________________________________________________ conv1_relu (ReLU) (None, 256, 256, 32) 0 _________________________________________________________________ conv_dw_1 (DepthwiseConv2D) (None, 256, 256, 32) 288 _________________________________________________________________ conv_dw_1_bn (BatchNormaliza (None, 256, 256, 32) 128 _________________________________________________________________ conv_dw_1_relu (ReLU) (None, 256, 256, 32) 0 _________________________________________________________________ conv_pw_1 (Conv2D) (None, 256, 256, 64) 2048 _________________________________________________________________ conv_pw_1_bn (BatchNormaliza (None, 256, 256, 64) 256 _________________________________________________________________ conv_pw_1_relu (ReLU) (None, 256, 256, 64) 0 _________________________________________________________________ conv_pad_2 (ZeroPadding2D) (None, 257, 257, 64) 0 _________________________________________________________________ conv_dw_2 (DepthwiseConv2D) (None, 128, 128, 64) 576 _________________________________________________________________ conv_dw_2_bn (BatchNormaliza (None, 128, 128, 64) 256 _________________________________________________________________ conv_dw_2_relu (ReLU) (None, 128, 128, 64) 0 _________________________________________________________________ conv_pw_2 (Conv2D) (None, 128, 128, 128) 8192 _________________________________________________________________ conv_pw_2_bn (BatchNormaliza (None, 128, 128, 128) 512 _________________________________________________________________ conv_pw_2_relu (ReLU) (None, 128, 128, 128) 0 _________________________________________________________________ conv_dw_3 (DepthwiseConv2D) (None, 128, 128, 128) 1152 _________________________________________________________________ conv_dw_3_bn (BatchNormaliza (None, 128, 128, 128) 512 _________________________________________________________________ conv_dw_3_relu (ReLU) (None, 128, 128, 128) 0 _________________________________________________________________ conv_pw_3 (Conv2D) (None, 128, 128, 128) 16384 _________________________________________________________________ conv_pw_3_bn (BatchNormaliza (None, 128, 128, 128) 512 _________________________________________________________________ conv_pw_3_relu (ReLU) (None, 128, 128, 128) 0 _________________________________________________________________ conv_pad_4 (ZeroPadding2D) (None, 129, 129, 128) 0 _________________________________________________________________ conv_dw_4 (DepthwiseConv2D) (None, 64, 64, 128) 1152 _________________________________________________________________ conv_dw_4_bn (BatchNormaliza (None, 64, 64, 128) 512 _________________________________________________________________ conv_dw_4_relu (ReLU) (None, 64, 64, 128) 0 _________________________________________________________________ conv_pw_4 (Conv2D) (None, 64, 64, 256) 32768 _________________________________________________________________ conv_pw_4_bn (BatchNormaliza (None, 64, 64, 256) 1024 _________________________________________________________________ conv_pw_4_relu (ReLU) (None, 64, 64, 256) 0 _________________________________________________________________ conv_dw_5 (DepthwiseConv2D) (None, 64, 64, 256) 2304 _________________________________________________________________ conv_dw_5_bn (BatchNormaliza (None, 64, 64, 256) 1024 _________________________________________________________________ conv_dw_5_relu (ReLU) (None, 64, 64, 256) 0 _________________________________________________________________ conv_pw_5 (Conv2D) (None, 64, 64, 256) 65536 _________________________________________________________________ conv_pw_5_bn (BatchNormaliza (None, 64, 64, 256) 1024 _________________________________________________________________ conv_pw_5_relu (ReLU) (None, 64, 64, 256) 0 _________________________________________________________________ conv_pad_6 (ZeroPadding2D) (None, 65, 65, 256) 0 _________________________________________________________________ conv_dw_6 (DepthwiseConv2D) (None, 32, 32, 256) 2304 _________________________________________________________________ conv_dw_6_bn (BatchNormaliza (None, 32, 32, 256) 1024 _________________________________________________________________ conv_dw_6_relu (ReLU) (None, 32, 32, 256) 0 _________________________________________________________________ conv_pw_6 (Conv2D) (None, 32, 32, 512) 131072 _________________________________________________________________ conv_pw_6_bn (BatchNormaliza (None, 32, 32, 512) 2048 _________________________________________________________________ conv_pw_6_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_dw_7 (DepthwiseConv2D) (None, 32, 32, 512) 4608 _________________________________________________________________ conv_dw_7_bn (BatchNormaliza (None, 32, 32, 512) 2048 _________________________________________________________________ conv_dw_7_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_pw_7 (Conv2D) (None, 32, 32, 512) 262144 _________________________________________________________________ conv_pw_7_bn (BatchNormaliza (None, 32, 32, 512) 2048 _________________________________________________________________ conv_pw_7_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_dw_8 (DepthwiseConv2D) (None, 32, 32, 512) 4608 _________________________________________________________________ conv_dw_8_bn (BatchNormaliza (None, 32, 32, 512) 2048 _________________________________________________________________ conv_dw_8_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_pw_8 (Conv2D) (None, 32, 32, 512) 262144 _________________________________________________________________ conv_pw_8_bn (BatchNormaliza (None, 32, 32, 512) 2048 _________________________________________________________________ conv_pw_8_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_dw_9 (DepthwiseConv2D) (None, 32, 32, 512) 4608 _________________________________________________________________ conv_dw_9_bn (BatchNormaliza (None, 32, 32, 512) 2048 _________________________________________________________________ conv_dw_9_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_pw_9 (Conv2D) (None, 32, 32, 512) 262144 _________________________________________________________________ conv_pw_9_bn (BatchNormaliza (None, 32, 32, 512) 2048 _________________________________________________________________ conv_pw_9_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_dw_10 (DepthwiseConv2D) (None, 32, 32, 512) 4608 _________________________________________________________________ conv_dw_10_bn (BatchNormaliz (None, 32, 32, 512) 2048 _________________________________________________________________ conv_dw_10_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_pw_10 (Conv2D) (None, 32, 32, 512) 262144 _________________________________________________________________ conv_pw_10_bn (BatchNormaliz (None, 32, 32, 512) 2048 _________________________________________________________________ conv_pw_10_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_dw_11 (DepthwiseConv2D) (None, 32, 32, 512) 4608 _________________________________________________________________ conv_dw_11_bn (BatchNormaliz (None, 32, 32, 512) 2048 _________________________________________________________________ conv_dw_11_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_pw_11 (Conv2D) (None, 32, 32, 512) 262144 _________________________________________________________________ conv_pw_11_bn (BatchNormaliz (None, 32, 32, 512) 2048 _________________________________________________________________ conv_pw_11_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_pad_12 (ZeroPadding2D) (None, 33, 33, 512) 0 _________________________________________________________________ conv_dw_12 (DepthwiseConv2D) (None, 16, 16, 512) 4608 _________________________________________________________________ conv_dw_12_bn (BatchNormaliz (None, 16, 16, 512) 2048 _________________________________________________________________ conv_dw_12_relu (ReLU) (None, 16, 16, 512) 0 _________________________________________________________________ conv_pw_12 (Conv2D) (None, 16, 16, 1024) 524288 _________________________________________________________________ conv_pw_12_bn (BatchNormaliz (None, 16, 16, 1024) 4096 _________________________________________________________________ conv_pw_12_relu (ReLU) (None, 16, 16, 1024) 0 _________________________________________________________________ conv_dw_13 (DepthwiseConv2D) (None, 16, 16, 1024) 9216 _________________________________________________________________ conv_dw_13_bn (BatchNormaliz (None, 16, 16, 1024) 4096 _________________________________________________________________ conv_dw_13_relu (ReLU) (None, 16, 16, 1024) 0 _________________________________________________________________ conv_pw_13 (Conv2D) (None, 16, 16, 1024) 1048576 _________________________________________________________________ conv_pw_13_bn (BatchNormaliz (None, 16, 16, 1024) 4096 _________________________________________________________________ conv_pw_13_relu (ReLU) (None, 16, 16, 1024) 0 _________________________________________________________________ global_average_pooling2d_3 ( (None, 1024) 0 _________________________________________________________________ dense_3 (Dense) (None, 2) 2050 ================================================================= Total params: 3,230,914 Trainable params: 3,209,026 Non-trainable params: 21,888 _________________________________________________________________
predict("/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0001769.jpg", model_architecture, weight_path)
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0001769.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb3781dba10> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8878556 | Other : 0.11214436
[1.0, 0.0]
model_architecture = inception_architecture()
weight_path = "/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5"
Model: "model_4"
__________________________________________________________________________________________________
Layer (type) Output Shape Param # Connected to
==================================================================================================
input_5 (InputLayer) [(None, 512, 512, 3) 0
__________________________________________________________________________________________________
conv2d_98 (Conv2D) (None, 255, 255, 32) 864 input_5[0][0]
__________________________________________________________________________________________________
batch_normalization_98 (BatchNo (None, 255, 255, 32) 96 conv2d_98[0][0]
__________________________________________________________________________________________________
activation_94 (Activation) (None, 255, 255, 32) 0 batch_normalization_98[0][0]
__________________________________________________________________________________________________
conv2d_99 (Conv2D) (None, 253, 253, 32) 9216 activation_94[0][0]
__________________________________________________________________________________________________
batch_normalization_99 (BatchNo (None, 253, 253, 32) 96 conv2d_99[0][0]
__________________________________________________________________________________________________
activation_95 (Activation) (None, 253, 253, 32) 0 batch_normalization_99[0][0]
__________________________________________________________________________________________________
conv2d_100 (Conv2D) (None, 253, 253, 64) 18432 activation_95[0][0]
__________________________________________________________________________________________________
batch_normalization_100 (BatchN (None, 253, 253, 64) 192 conv2d_100[0][0]
__________________________________________________________________________________________________
activation_96 (Activation) (None, 253, 253, 64) 0 batch_normalization_100[0][0]
__________________________________________________________________________________________________
max_pooling2d_4 (MaxPooling2D) (None, 126, 126, 64) 0 activation_96[0][0]
__________________________________________________________________________________________________
conv2d_101 (Conv2D) (None, 126, 126, 80) 5120 max_pooling2d_4[0][0]
__________________________________________________________________________________________________
batch_normalization_101 (BatchN (None, 126, 126, 80) 240 conv2d_101[0][0]
__________________________________________________________________________________________________
activation_97 (Activation) (None, 126, 126, 80) 0 batch_normalization_101[0][0]
__________________________________________________________________________________________________
conv2d_102 (Conv2D) (None, 124, 124, 192 138240 activation_97[0][0]
__________________________________________________________________________________________________
batch_normalization_102 (BatchN (None, 124, 124, 192 576 conv2d_102[0][0]
__________________________________________________________________________________________________
activation_98 (Activation) (None, 124, 124, 192 0 batch_normalization_102[0][0]
__________________________________________________________________________________________________
max_pooling2d_5 (MaxPooling2D) (None, 61, 61, 192) 0 activation_98[0][0]
__________________________________________________________________________________________________
conv2d_106 (Conv2D) (None, 61, 61, 64) 12288 max_pooling2d_5[0][0]
__________________________________________________________________________________________________
batch_normalization_106 (BatchN (None, 61, 61, 64) 192 conv2d_106[0][0]
__________________________________________________________________________________________________
activation_102 (Activation) (None, 61, 61, 64) 0 batch_normalization_106[0][0]
__________________________________________________________________________________________________
conv2d_104 (Conv2D) (None, 61, 61, 48) 9216 max_pooling2d_5[0][0]
__________________________________________________________________________________________________
conv2d_107 (Conv2D) (None, 61, 61, 96) 55296 activation_102[0][0]
__________________________________________________________________________________________________
batch_normalization_104 (BatchN (None, 61, 61, 48) 144 conv2d_104[0][0]
__________________________________________________________________________________________________
batch_normalization_107 (BatchN (None, 61, 61, 96) 288 conv2d_107[0][0]
__________________________________________________________________________________________________
activation_100 (Activation) (None, 61, 61, 48) 0 batch_normalization_104[0][0]
__________________________________________________________________________________________________
activation_103 (Activation) (None, 61, 61, 96) 0 batch_normalization_107[0][0]
__________________________________________________________________________________________________
average_pooling2d_9 (AveragePoo (None, 61, 61, 192) 0 max_pooling2d_5[0][0]
__________________________________________________________________________________________________
conv2d_103 (Conv2D) (None, 61, 61, 64) 12288 max_pooling2d_5[0][0]
__________________________________________________________________________________________________
conv2d_105 (Conv2D) (None, 61, 61, 64) 76800 activation_100[0][0]
__________________________________________________________________________________________________
conv2d_108 (Conv2D) (None, 61, 61, 96) 82944 activation_103[0][0]
__________________________________________________________________________________________________
conv2d_109 (Conv2D) (None, 61, 61, 32) 6144 average_pooling2d_9[0][0]
__________________________________________________________________________________________________
batch_normalization_103 (BatchN (None, 61, 61, 64) 192 conv2d_103[0][0]
__________________________________________________________________________________________________
batch_normalization_105 (BatchN (None, 61, 61, 64) 192 conv2d_105[0][0]
__________________________________________________________________________________________________
batch_normalization_108 (BatchN (None, 61, 61, 96) 288 conv2d_108[0][0]
__________________________________________________________________________________________________
batch_normalization_109 (BatchN (None, 61, 61, 32) 96 conv2d_109[0][0]
__________________________________________________________________________________________________
activation_99 (Activation) (None, 61, 61, 64) 0 batch_normalization_103[0][0]
__________________________________________________________________________________________________
activation_101 (Activation) (None, 61, 61, 64) 0 batch_normalization_105[0][0]
__________________________________________________________________________________________________
activation_104 (Activation) (None, 61, 61, 96) 0 batch_normalization_108[0][0]
__________________________________________________________________________________________________
activation_105 (Activation) (None, 61, 61, 32) 0 batch_normalization_109[0][0]
__________________________________________________________________________________________________
mixed0 (Concatenate) (None, 61, 61, 256) 0 activation_99[0][0]
activation_101[0][0]
activation_104[0][0]
activation_105[0][0]
__________________________________________________________________________________________________
conv2d_113 (Conv2D) (None, 61, 61, 64) 16384 mixed0[0][0]
__________________________________________________________________________________________________
batch_normalization_113 (BatchN (None, 61, 61, 64) 192 conv2d_113[0][0]
__________________________________________________________________________________________________
activation_109 (Activation) (None, 61, 61, 64) 0 batch_normalization_113[0][0]
__________________________________________________________________________________________________
conv2d_111 (Conv2D) (None, 61, 61, 48) 12288 mixed0[0][0]
__________________________________________________________________________________________________
conv2d_114 (Conv2D) (None, 61, 61, 96) 55296 activation_109[0][0]
__________________________________________________________________________________________________
batch_normalization_111 (BatchN (None, 61, 61, 48) 144 conv2d_111[0][0]
__________________________________________________________________________________________________
batch_normalization_114 (BatchN (None, 61, 61, 96) 288 conv2d_114[0][0]
__________________________________________________________________________________________________
activation_107 (Activation) (None, 61, 61, 48) 0 batch_normalization_111[0][0]
__________________________________________________________________________________________________
activation_110 (Activation) (None, 61, 61, 96) 0 batch_normalization_114[0][0]
__________________________________________________________________________________________________
average_pooling2d_10 (AveragePo (None, 61, 61, 256) 0 mixed0[0][0]
__________________________________________________________________________________________________
conv2d_110 (Conv2D) (None, 61, 61, 64) 16384 mixed0[0][0]
__________________________________________________________________________________________________
conv2d_112 (Conv2D) (None, 61, 61, 64) 76800 activation_107[0][0]
__________________________________________________________________________________________________
conv2d_115 (Conv2D) (None, 61, 61, 96) 82944 activation_110[0][0]
__________________________________________________________________________________________________
conv2d_116 (Conv2D) (None, 61, 61, 64) 16384 average_pooling2d_10[0][0]
__________________________________________________________________________________________________
batch_normalization_110 (BatchN (None, 61, 61, 64) 192 conv2d_110[0][0]
__________________________________________________________________________________________________
batch_normalization_112 (BatchN (None, 61, 61, 64) 192 conv2d_112[0][0]
__________________________________________________________________________________________________
batch_normalization_115 (BatchN (None, 61, 61, 96) 288 conv2d_115[0][0]
__________________________________________________________________________________________________
batch_normalization_116 (BatchN (None, 61, 61, 64) 192 conv2d_116[0][0]
__________________________________________________________________________________________________
activation_106 (Activation) (None, 61, 61, 64) 0 batch_normalization_110[0][0]
__________________________________________________________________________________________________
activation_108 (Activation) (None, 61, 61, 64) 0 batch_normalization_112[0][0]
__________________________________________________________________________________________________
activation_111 (Activation) (None, 61, 61, 96) 0 batch_normalization_115[0][0]
__________________________________________________________________________________________________
activation_112 (Activation) (None, 61, 61, 64) 0 batch_normalization_116[0][0]
__________________________________________________________________________________________________
mixed1 (Concatenate) (None, 61, 61, 288) 0 activation_106[0][0]
activation_108[0][0]
activation_111[0][0]
activation_112[0][0]
__________________________________________________________________________________________________
conv2d_120 (Conv2D) (None, 61, 61, 64) 18432 mixed1[0][0]
__________________________________________________________________________________________________
batch_normalization_120 (BatchN (None, 61, 61, 64) 192 conv2d_120[0][0]
__________________________________________________________________________________________________
activation_116 (Activation) (None, 61, 61, 64) 0 batch_normalization_120[0][0]
__________________________________________________________________________________________________
conv2d_118 (Conv2D) (None, 61, 61, 48) 13824 mixed1[0][0]
__________________________________________________________________________________________________
conv2d_121 (Conv2D) (None, 61, 61, 96) 55296 activation_116[0][0]
__________________________________________________________________________________________________
batch_normalization_118 (BatchN (None, 61, 61, 48) 144 conv2d_118[0][0]
__________________________________________________________________________________________________
batch_normalization_121 (BatchN (None, 61, 61, 96) 288 conv2d_121[0][0]
__________________________________________________________________________________________________
activation_114 (Activation) (None, 61, 61, 48) 0 batch_normalization_118[0][0]
__________________________________________________________________________________________________
activation_117 (Activation) (None, 61, 61, 96) 0 batch_normalization_121[0][0]
__________________________________________________________________________________________________
average_pooling2d_11 (AveragePo (None, 61, 61, 288) 0 mixed1[0][0]
__________________________________________________________________________________________________
conv2d_117 (Conv2D) (None, 61, 61, 64) 18432 mixed1[0][0]
__________________________________________________________________________________________________
conv2d_119 (Conv2D) (None, 61, 61, 64) 76800 activation_114[0][0]
__________________________________________________________________________________________________
conv2d_122 (Conv2D) (None, 61, 61, 96) 82944 activation_117[0][0]
__________________________________________________________________________________________________
conv2d_123 (Conv2D) (None, 61, 61, 64) 18432 average_pooling2d_11[0][0]
__________________________________________________________________________________________________
batch_normalization_117 (BatchN (None, 61, 61, 64) 192 conv2d_117[0][0]
__________________________________________________________________________________________________
batch_normalization_119 (BatchN (None, 61, 61, 64) 192 conv2d_119[0][0]
__________________________________________________________________________________________________
batch_normalization_122 (BatchN (None, 61, 61, 96) 288 conv2d_122[0][0]
__________________________________________________________________________________________________
batch_normalization_123 (BatchN (None, 61, 61, 64) 192 conv2d_123[0][0]
__________________________________________________________________________________________________
activation_113 (Activation) (None, 61, 61, 64) 0 batch_normalization_117[0][0]
__________________________________________________________________________________________________
activation_115 (Activation) (None, 61, 61, 64) 0 batch_normalization_119[0][0]
__________________________________________________________________________________________________
activation_118 (Activation) (None, 61, 61, 96) 0 batch_normalization_122[0][0]
__________________________________________________________________________________________________
activation_119 (Activation) (None, 61, 61, 64) 0 batch_normalization_123[0][0]
__________________________________________________________________________________________________
mixed2 (Concatenate) (None, 61, 61, 288) 0 activation_113[0][0]
activation_115[0][0]
activation_118[0][0]
activation_119[0][0]
__________________________________________________________________________________________________
conv2d_125 (Conv2D) (None, 61, 61, 64) 18432 mixed2[0][0]
__________________________________________________________________________________________________
batch_normalization_125 (BatchN (None, 61, 61, 64) 192 conv2d_125[0][0]
__________________________________________________________________________________________________
activation_121 (Activation) (None, 61, 61, 64) 0 batch_normalization_125[0][0]
__________________________________________________________________________________________________
conv2d_126 (Conv2D) (None, 61, 61, 96) 55296 activation_121[0][0]
__________________________________________________________________________________________________
batch_normalization_126 (BatchN (None, 61, 61, 96) 288 conv2d_126[0][0]
__________________________________________________________________________________________________
activation_122 (Activation) (None, 61, 61, 96) 0 batch_normalization_126[0][0]
__________________________________________________________________________________________________
conv2d_124 (Conv2D) (None, 30, 30, 384) 995328 mixed2[0][0]
__________________________________________________________________________________________________
conv2d_127 (Conv2D) (None, 30, 30, 96) 82944 activation_122[0][0]
__________________________________________________________________________________________________
batch_normalization_124 (BatchN (None, 30, 30, 384) 1152 conv2d_124[0][0]
__________________________________________________________________________________________________
batch_normalization_127 (BatchN (None, 30, 30, 96) 288 conv2d_127[0][0]
__________________________________________________________________________________________________
activation_120 (Activation) (None, 30, 30, 384) 0 batch_normalization_124[0][0]
__________________________________________________________________________________________________
activation_123 (Activation) (None, 30, 30, 96) 0 batch_normalization_127[0][0]
__________________________________________________________________________________________________
max_pooling2d_6 (MaxPooling2D) (None, 30, 30, 288) 0 mixed2[0][0]
__________________________________________________________________________________________________
mixed3 (Concatenate) (None, 30, 30, 768) 0 activation_120[0][0]
activation_123[0][0]
max_pooling2d_6[0][0]
__________________________________________________________________________________________________
conv2d_132 (Conv2D) (None, 30, 30, 128) 98304 mixed3[0][0]
__________________________________________________________________________________________________
batch_normalization_132 (BatchN (None, 30, 30, 128) 384 conv2d_132[0][0]
__________________________________________________________________________________________________
activation_128 (Activation) (None, 30, 30, 128) 0 batch_normalization_132[0][0]
__________________________________________________________________________________________________
conv2d_133 (Conv2D) (None, 30, 30, 128) 114688 activation_128[0][0]
__________________________________________________________________________________________________
batch_normalization_133 (BatchN (None, 30, 30, 128) 384 conv2d_133[0][0]
__________________________________________________________________________________________________
activation_129 (Activation) (None, 30, 30, 128) 0 batch_normalization_133[0][0]
__________________________________________________________________________________________________
conv2d_129 (Conv2D) (None, 30, 30, 128) 98304 mixed3[0][0]
__________________________________________________________________________________________________
conv2d_134 (Conv2D) (None, 30, 30, 128) 114688 activation_129[0][0]
__________________________________________________________________________________________________
batch_normalization_129 (BatchN (None, 30, 30, 128) 384 conv2d_129[0][0]
__________________________________________________________________________________________________
batch_normalization_134 (BatchN (None, 30, 30, 128) 384 conv2d_134[0][0]
__________________________________________________________________________________________________
activation_125 (Activation) (None, 30, 30, 128) 0 batch_normalization_129[0][0]
__________________________________________________________________________________________________
activation_130 (Activation) (None, 30, 30, 128) 0 batch_normalization_134[0][0]
__________________________________________________________________________________________________
conv2d_130 (Conv2D) (None, 30, 30, 128) 114688 activation_125[0][0]
__________________________________________________________________________________________________
conv2d_135 (Conv2D) (None, 30, 30, 128) 114688 activation_130[0][0]
__________________________________________________________________________________________________
batch_normalization_130 (BatchN (None, 30, 30, 128) 384 conv2d_130[0][0]
__________________________________________________________________________________________________
batch_normalization_135 (BatchN (None, 30, 30, 128) 384 conv2d_135[0][0]
__________________________________________________________________________________________________
activation_126 (Activation) (None, 30, 30, 128) 0 batch_normalization_130[0][0]
__________________________________________________________________________________________________
activation_131 (Activation) (None, 30, 30, 128) 0 batch_normalization_135[0][0]
__________________________________________________________________________________________________
average_pooling2d_12 (AveragePo (None, 30, 30, 768) 0 mixed3[0][0]
__________________________________________________________________________________________________
conv2d_128 (Conv2D) (None, 30, 30, 192) 147456 mixed3[0][0]
__________________________________________________________________________________________________
conv2d_131 (Conv2D) (None, 30, 30, 192) 172032 activation_126[0][0]
__________________________________________________________________________________________________
conv2d_136 (Conv2D) (None, 30, 30, 192) 172032 activation_131[0][0]
__________________________________________________________________________________________________
conv2d_137 (Conv2D) (None, 30, 30, 192) 147456 average_pooling2d_12[0][0]
__________________________________________________________________________________________________
batch_normalization_128 (BatchN (None, 30, 30, 192) 576 conv2d_128[0][0]
__________________________________________________________________________________________________
batch_normalization_131 (BatchN (None, 30, 30, 192) 576 conv2d_131[0][0]
__________________________________________________________________________________________________
batch_normalization_136 (BatchN (None, 30, 30, 192) 576 conv2d_136[0][0]
__________________________________________________________________________________________________
batch_normalization_137 (BatchN (None, 30, 30, 192) 576 conv2d_137[0][0]
__________________________________________________________________________________________________
activation_124 (Activation) (None, 30, 30, 192) 0 batch_normalization_128[0][0]
__________________________________________________________________________________________________
activation_127 (Activation) (None, 30, 30, 192) 0 batch_normalization_131[0][0]
__________________________________________________________________________________________________
activation_132 (Activation) (None, 30, 30, 192) 0 batch_normalization_136[0][0]
__________________________________________________________________________________________________
activation_133 (Activation) (None, 30, 30, 192) 0 batch_normalization_137[0][0]
__________________________________________________________________________________________________
mixed4 (Concatenate) (None, 30, 30, 768) 0 activation_124[0][0]
activation_127[0][0]
activation_132[0][0]
activation_133[0][0]
__________________________________________________________________________________________________
conv2d_142 (Conv2D) (None, 30, 30, 160) 122880 mixed4[0][0]
__________________________________________________________________________________________________
batch_normalization_142 (BatchN (None, 30, 30, 160) 480 conv2d_142[0][0]
__________________________________________________________________________________________________
activation_138 (Activation) (None, 30, 30, 160) 0 batch_normalization_142[0][0]
__________________________________________________________________________________________________
conv2d_143 (Conv2D) (None, 30, 30, 160) 179200 activation_138[0][0]
__________________________________________________________________________________________________
batch_normalization_143 (BatchN (None, 30, 30, 160) 480 conv2d_143[0][0]
__________________________________________________________________________________________________
activation_139 (Activation) (None, 30, 30, 160) 0 batch_normalization_143[0][0]
__________________________________________________________________________________________________
conv2d_139 (Conv2D) (None, 30, 30, 160) 122880 mixed4[0][0]
__________________________________________________________________________________________________
conv2d_144 (Conv2D) (None, 30, 30, 160) 179200 activation_139[0][0]
__________________________________________________________________________________________________
batch_normalization_139 (BatchN (None, 30, 30, 160) 480 conv2d_139[0][0]
__________________________________________________________________________________________________
batch_normalization_144 (BatchN (None, 30, 30, 160) 480 conv2d_144[0][0]
__________________________________________________________________________________________________
activation_135 (Activation) (None, 30, 30, 160) 0 batch_normalization_139[0][0]
__________________________________________________________________________________________________
activation_140 (Activation) (None, 30, 30, 160) 0 batch_normalization_144[0][0]
__________________________________________________________________________________________________
conv2d_140 (Conv2D) (None, 30, 30, 160) 179200 activation_135[0][0]
__________________________________________________________________________________________________
conv2d_145 (Conv2D) (None, 30, 30, 160) 179200 activation_140[0][0]
__________________________________________________________________________________________________
batch_normalization_140 (BatchN (None, 30, 30, 160) 480 conv2d_140[0][0]
__________________________________________________________________________________________________
batch_normalization_145 (BatchN (None, 30, 30, 160) 480 conv2d_145[0][0]
__________________________________________________________________________________________________
activation_136 (Activation) (None, 30, 30, 160) 0 batch_normalization_140[0][0]
__________________________________________________________________________________________________
activation_141 (Activation) (None, 30, 30, 160) 0 batch_normalization_145[0][0]
__________________________________________________________________________________________________
average_pooling2d_13 (AveragePo (None, 30, 30, 768) 0 mixed4[0][0]
__________________________________________________________________________________________________
conv2d_138 (Conv2D) (None, 30, 30, 192) 147456 mixed4[0][0]
__________________________________________________________________________________________________
conv2d_141 (Conv2D) (None, 30, 30, 192) 215040 activation_136[0][0]
__________________________________________________________________________________________________
conv2d_146 (Conv2D) (None, 30, 30, 192) 215040 activation_141[0][0]
__________________________________________________________________________________________________
conv2d_147 (Conv2D) (None, 30, 30, 192) 147456 average_pooling2d_13[0][0]
__________________________________________________________________________________________________
batch_normalization_138 (BatchN (None, 30, 30, 192) 576 conv2d_138[0][0]
__________________________________________________________________________________________________
batch_normalization_141 (BatchN (None, 30, 30, 192) 576 conv2d_141[0][0]
__________________________________________________________________________________________________
batch_normalization_146 (BatchN (None, 30, 30, 192) 576 conv2d_146[0][0]
__________________________________________________________________________________________________
batch_normalization_147 (BatchN (None, 30, 30, 192) 576 conv2d_147[0][0]
__________________________________________________________________________________________________
activation_134 (Activation) (None, 30, 30, 192) 0 batch_normalization_138[0][0]
__________________________________________________________________________________________________
activation_137 (Activation) (None, 30, 30, 192) 0 batch_normalization_141[0][0]
__________________________________________________________________________________________________
activation_142 (Activation) (None, 30, 30, 192) 0 batch_normalization_146[0][0]
__________________________________________________________________________________________________
activation_143 (Activation) (None, 30, 30, 192) 0 batch_normalization_147[0][0]
__________________________________________________________________________________________________
mixed5 (Concatenate) (None, 30, 30, 768) 0 activation_134[0][0]
activation_137[0][0]
activation_142[0][0]
activation_143[0][0]
__________________________________________________________________________________________________
conv2d_152 (Conv2D) (None, 30, 30, 160) 122880 mixed5[0][0]
__________________________________________________________________________________________________
batch_normalization_152 (BatchN (None, 30, 30, 160) 480 conv2d_152[0][0]
__________________________________________________________________________________________________
activation_148 (Activation) (None, 30, 30, 160) 0 batch_normalization_152[0][0]
__________________________________________________________________________________________________
conv2d_153 (Conv2D) (None, 30, 30, 160) 179200 activation_148[0][0]
__________________________________________________________________________________________________
batch_normalization_153 (BatchN (None, 30, 30, 160) 480 conv2d_153[0][0]
__________________________________________________________________________________________________
activation_149 (Activation) (None, 30, 30, 160) 0 batch_normalization_153[0][0]
__________________________________________________________________________________________________
conv2d_149 (Conv2D) (None, 30, 30, 160) 122880 mixed5[0][0]
__________________________________________________________________________________________________
conv2d_154 (Conv2D) (None, 30, 30, 160) 179200 activation_149[0][0]
__________________________________________________________________________________________________
batch_normalization_149 (BatchN (None, 30, 30, 160) 480 conv2d_149[0][0]
__________________________________________________________________________________________________
batch_normalization_154 (BatchN (None, 30, 30, 160) 480 conv2d_154[0][0]
__________________________________________________________________________________________________
activation_145 (Activation) (None, 30, 30, 160) 0 batch_normalization_149[0][0]
__________________________________________________________________________________________________
activation_150 (Activation) (None, 30, 30, 160) 0 batch_normalization_154[0][0]
__________________________________________________________________________________________________
conv2d_150 (Conv2D) (None, 30, 30, 160) 179200 activation_145[0][0]
__________________________________________________________________________________________________
conv2d_155 (Conv2D) (None, 30, 30, 160) 179200 activation_150[0][0]
__________________________________________________________________________________________________
batch_normalization_150 (BatchN (None, 30, 30, 160) 480 conv2d_150[0][0]
__________________________________________________________________________________________________
batch_normalization_155 (BatchN (None, 30, 30, 160) 480 conv2d_155[0][0]
__________________________________________________________________________________________________
activation_146 (Activation) (None, 30, 30, 160) 0 batch_normalization_150[0][0]
__________________________________________________________________________________________________
activation_151 (Activation) (None, 30, 30, 160) 0 batch_normalization_155[0][0]
__________________________________________________________________________________________________
average_pooling2d_14 (AveragePo (None, 30, 30, 768) 0 mixed5[0][0]
__________________________________________________________________________________________________
conv2d_148 (Conv2D) (None, 30, 30, 192) 147456 mixed5[0][0]
__________________________________________________________________________________________________
conv2d_151 (Conv2D) (None, 30, 30, 192) 215040 activation_146[0][0]
__________________________________________________________________________________________________
conv2d_156 (Conv2D) (None, 30, 30, 192) 215040 activation_151[0][0]
__________________________________________________________________________________________________
conv2d_157 (Conv2D) (None, 30, 30, 192) 147456 average_pooling2d_14[0][0]
__________________________________________________________________________________________________
batch_normalization_148 (BatchN (None, 30, 30, 192) 576 conv2d_148[0][0]
__________________________________________________________________________________________________
batch_normalization_151 (BatchN (None, 30, 30, 192) 576 conv2d_151[0][0]
__________________________________________________________________________________________________
batch_normalization_156 (BatchN (None, 30, 30, 192) 576 conv2d_156[0][0]
__________________________________________________________________________________________________
batch_normalization_157 (BatchN (None, 30, 30, 192) 576 conv2d_157[0][0]
__________________________________________________________________________________________________
activation_144 (Activation) (None, 30, 30, 192) 0 batch_normalization_148[0][0]
__________________________________________________________________________________________________
activation_147 (Activation) (None, 30, 30, 192) 0 batch_normalization_151[0][0]
__________________________________________________________________________________________________
activation_152 (Activation) (None, 30, 30, 192) 0 batch_normalization_156[0][0]
__________________________________________________________________________________________________
activation_153 (Activation) (None, 30, 30, 192) 0 batch_normalization_157[0][0]
__________________________________________________________________________________________________
mixed6 (Concatenate) (None, 30, 30, 768) 0 activation_144[0][0]
activation_147[0][0]
activation_152[0][0]
activation_153[0][0]
__________________________________________________________________________________________________
conv2d_162 (Conv2D) (None, 30, 30, 192) 147456 mixed6[0][0]
__________________________________________________________________________________________________
batch_normalization_162 (BatchN (None, 30, 30, 192) 576 conv2d_162[0][0]
__________________________________________________________________________________________________
activation_158 (Activation) (None, 30, 30, 192) 0 batch_normalization_162[0][0]
__________________________________________________________________________________________________
conv2d_163 (Conv2D) (None, 30, 30, 192) 258048 activation_158[0][0]
__________________________________________________________________________________________________
batch_normalization_163 (BatchN (None, 30, 30, 192) 576 conv2d_163[0][0]
__________________________________________________________________________________________________
activation_159 (Activation) (None, 30, 30, 192) 0 batch_normalization_163[0][0]
__________________________________________________________________________________________________
conv2d_159 (Conv2D) (None, 30, 30, 192) 147456 mixed6[0][0]
__________________________________________________________________________________________________
conv2d_164 (Conv2D) (None, 30, 30, 192) 258048 activation_159[0][0]
__________________________________________________________________________________________________
batch_normalization_159 (BatchN (None, 30, 30, 192) 576 conv2d_159[0][0]
__________________________________________________________________________________________________
batch_normalization_164 (BatchN (None, 30, 30, 192) 576 conv2d_164[0][0]
__________________________________________________________________________________________________
activation_155 (Activation) (None, 30, 30, 192) 0 batch_normalization_159[0][0]
__________________________________________________________________________________________________
activation_160 (Activation) (None, 30, 30, 192) 0 batch_normalization_164[0][0]
__________________________________________________________________________________________________
conv2d_160 (Conv2D) (None, 30, 30, 192) 258048 activation_155[0][0]
__________________________________________________________________________________________________
conv2d_165 (Conv2D) (None, 30, 30, 192) 258048 activation_160[0][0]
__________________________________________________________________________________________________
batch_normalization_160 (BatchN (None, 30, 30, 192) 576 conv2d_160[0][0]
__________________________________________________________________________________________________
batch_normalization_165 (BatchN (None, 30, 30, 192) 576 conv2d_165[0][0]
__________________________________________________________________________________________________
activation_156 (Activation) (None, 30, 30, 192) 0 batch_normalization_160[0][0]
__________________________________________________________________________________________________
activation_161 (Activation) (None, 30, 30, 192) 0 batch_normalization_165[0][0]
__________________________________________________________________________________________________
average_pooling2d_15 (AveragePo (None, 30, 30, 768) 0 mixed6[0][0]
__________________________________________________________________________________________________
conv2d_158 (Conv2D) (None, 30, 30, 192) 147456 mixed6[0][0]
__________________________________________________________________________________________________
conv2d_161 (Conv2D) (None, 30, 30, 192) 258048 activation_156[0][0]
__________________________________________________________________________________________________
conv2d_166 (Conv2D) (None, 30, 30, 192) 258048 activation_161[0][0]
__________________________________________________________________________________________________
conv2d_167 (Conv2D) (None, 30, 30, 192) 147456 average_pooling2d_15[0][0]
__________________________________________________________________________________________________
batch_normalization_158 (BatchN (None, 30, 30, 192) 576 conv2d_158[0][0]
__________________________________________________________________________________________________
batch_normalization_161 (BatchN (None, 30, 30, 192) 576 conv2d_161[0][0]
__________________________________________________________________________________________________
batch_normalization_166 (BatchN (None, 30, 30, 192) 576 conv2d_166[0][0]
__________________________________________________________________________________________________
batch_normalization_167 (BatchN (None, 30, 30, 192) 576 conv2d_167[0][0]
__________________________________________________________________________________________________
activation_154 (Activation) (None, 30, 30, 192) 0 batch_normalization_158[0][0]
__________________________________________________________________________________________________
activation_157 (Activation) (None, 30, 30, 192) 0 batch_normalization_161[0][0]
__________________________________________________________________________________________________
activation_162 (Activation) (None, 30, 30, 192) 0 batch_normalization_166[0][0]
__________________________________________________________________________________________________
activation_163 (Activation) (None, 30, 30, 192) 0 batch_normalization_167[0][0]
__________________________________________________________________________________________________
mixed7 (Concatenate) (None, 30, 30, 768) 0 activation_154[0][0]
activation_157[0][0]
activation_162[0][0]
activation_163[0][0]
__________________________________________________________________________________________________
conv2d_170 (Conv2D) (None, 30, 30, 192) 147456 mixed7[0][0]
__________________________________________________________________________________________________
batch_normalization_170 (BatchN (None, 30, 30, 192) 576 conv2d_170[0][0]
__________________________________________________________________________________________________
activation_166 (Activation) (None, 30, 30, 192) 0 batch_normalization_170[0][0]
__________________________________________________________________________________________________
conv2d_171 (Conv2D) (None, 30, 30, 192) 258048 activation_166[0][0]
__________________________________________________________________________________________________
batch_normalization_171 (BatchN (None, 30, 30, 192) 576 conv2d_171[0][0]
__________________________________________________________________________________________________
activation_167 (Activation) (None, 30, 30, 192) 0 batch_normalization_171[0][0]
__________________________________________________________________________________________________
conv2d_168 (Conv2D) (None, 30, 30, 192) 147456 mixed7[0][0]
__________________________________________________________________________________________________
conv2d_172 (Conv2D) (None, 30, 30, 192) 258048 activation_167[0][0]
__________________________________________________________________________________________________
batch_normalization_168 (BatchN (None, 30, 30, 192) 576 conv2d_168[0][0]
__________________________________________________________________________________________________
batch_normalization_172 (BatchN (None, 30, 30, 192) 576 conv2d_172[0][0]
__________________________________________________________________________________________________
activation_164 (Activation) (None, 30, 30, 192) 0 batch_normalization_168[0][0]
__________________________________________________________________________________________________
activation_168 (Activation) (None, 30, 30, 192) 0 batch_normalization_172[0][0]
__________________________________________________________________________________________________
conv2d_169 (Conv2D) (None, 14, 14, 320) 552960 activation_164[0][0]
__________________________________________________________________________________________________
conv2d_173 (Conv2D) (None, 14, 14, 192) 331776 activation_168[0][0]
__________________________________________________________________________________________________
batch_normalization_169 (BatchN (None, 14, 14, 320) 960 conv2d_169[0][0]
__________________________________________________________________________________________________
batch_normalization_173 (BatchN (None, 14, 14, 192) 576 conv2d_173[0][0]
__________________________________________________________________________________________________
activation_165 (Activation) (None, 14, 14, 320) 0 batch_normalization_169[0][0]
__________________________________________________________________________________________________
activation_169 (Activation) (None, 14, 14, 192) 0 batch_normalization_173[0][0]
__________________________________________________________________________________________________
max_pooling2d_7 (MaxPooling2D) (None, 14, 14, 768) 0 mixed7[0][0]
__________________________________________________________________________________________________
mixed8 (Concatenate) (None, 14, 14, 1280) 0 activation_165[0][0]
activation_169[0][0]
max_pooling2d_7[0][0]
__________________________________________________________________________________________________
conv2d_178 (Conv2D) (None, 14, 14, 448) 573440 mixed8[0][0]
__________________________________________________________________________________________________
batch_normalization_178 (BatchN (None, 14, 14, 448) 1344 conv2d_178[0][0]
__________________________________________________________________________________________________
activation_174 (Activation) (None, 14, 14, 448) 0 batch_normalization_178[0][0]
__________________________________________________________________________________________________
conv2d_175 (Conv2D) (None, 14, 14, 384) 491520 mixed8[0][0]
__________________________________________________________________________________________________
conv2d_179 (Conv2D) (None, 14, 14, 384) 1548288 activation_174[0][0]
__________________________________________________________________________________________________
batch_normalization_175 (BatchN (None, 14, 14, 384) 1152 conv2d_175[0][0]
__________________________________________________________________________________________________
batch_normalization_179 (BatchN (None, 14, 14, 384) 1152 conv2d_179[0][0]
__________________________________________________________________________________________________
activation_171 (Activation) (None, 14, 14, 384) 0 batch_normalization_175[0][0]
__________________________________________________________________________________________________
activation_175 (Activation) (None, 14, 14, 384) 0 batch_normalization_179[0][0]
__________________________________________________________________________________________________
conv2d_176 (Conv2D) (None, 14, 14, 384) 442368 activation_171[0][0]
__________________________________________________________________________________________________
conv2d_177 (Conv2D) (None, 14, 14, 384) 442368 activation_171[0][0]
__________________________________________________________________________________________________
conv2d_180 (Conv2D) (None, 14, 14, 384) 442368 activation_175[0][0]
__________________________________________________________________________________________________
conv2d_181 (Conv2D) (None, 14, 14, 384) 442368 activation_175[0][0]
__________________________________________________________________________________________________
average_pooling2d_16 (AveragePo (None, 14, 14, 1280) 0 mixed8[0][0]
__________________________________________________________________________________________________
conv2d_174 (Conv2D) (None, 14, 14, 320) 409600 mixed8[0][0]
__________________________________________________________________________________________________
batch_normalization_176 (BatchN (None, 14, 14, 384) 1152 conv2d_176[0][0]
__________________________________________________________________________________________________
batch_normalization_177 (BatchN (None, 14, 14, 384) 1152 conv2d_177[0][0]
__________________________________________________________________________________________________
batch_normalization_180 (BatchN (None, 14, 14, 384) 1152 conv2d_180[0][0]
__________________________________________________________________________________________________
batch_normalization_181 (BatchN (None, 14, 14, 384) 1152 conv2d_181[0][0]
__________________________________________________________________________________________________
conv2d_182 (Conv2D) (None, 14, 14, 192) 245760 average_pooling2d_16[0][0]
__________________________________________________________________________________________________
batch_normalization_174 (BatchN (None, 14, 14, 320) 960 conv2d_174[0][0]
__________________________________________________________________________________________________
activation_172 (Activation) (None, 14, 14, 384) 0 batch_normalization_176[0][0]
__________________________________________________________________________________________________
activation_173 (Activation) (None, 14, 14, 384) 0 batch_normalization_177[0][0]
__________________________________________________________________________________________________
activation_176 (Activation) (None, 14, 14, 384) 0 batch_normalization_180[0][0]
__________________________________________________________________________________________________
activation_177 (Activation) (None, 14, 14, 384) 0 batch_normalization_181[0][0]
__________________________________________________________________________________________________
batch_normalization_182 (BatchN (None, 14, 14, 192) 576 conv2d_182[0][0]
__________________________________________________________________________________________________
activation_170 (Activation) (None, 14, 14, 320) 0 batch_normalization_174[0][0]
__________________________________________________________________________________________________
mixed9_0 (Concatenate) (None, 14, 14, 768) 0 activation_172[0][0]
activation_173[0][0]
__________________________________________________________________________________________________
concatenate_2 (Concatenate) (None, 14, 14, 768) 0 activation_176[0][0]
activation_177[0][0]
__________________________________________________________________________________________________
activation_178 (Activation) (None, 14, 14, 192) 0 batch_normalization_182[0][0]
__________________________________________________________________________________________________
mixed9 (Concatenate) (None, 14, 14, 2048) 0 activation_170[0][0]
mixed9_0[0][0]
concatenate_2[0][0]
activation_178[0][0]
__________________________________________________________________________________________________
conv2d_187 (Conv2D) (None, 14, 14, 448) 917504 mixed9[0][0]
__________________________________________________________________________________________________
batch_normalization_187 (BatchN (None, 14, 14, 448) 1344 conv2d_187[0][0]
__________________________________________________________________________________________________
activation_183 (Activation) (None, 14, 14, 448) 0 batch_normalization_187[0][0]
__________________________________________________________________________________________________
conv2d_184 (Conv2D) (None, 14, 14, 384) 786432 mixed9[0][0]
__________________________________________________________________________________________________
conv2d_188 (Conv2D) (None, 14, 14, 384) 1548288 activation_183[0][0]
__________________________________________________________________________________________________
batch_normalization_184 (BatchN (None, 14, 14, 384) 1152 conv2d_184[0][0]
__________________________________________________________________________________________________
batch_normalization_188 (BatchN (None, 14, 14, 384) 1152 conv2d_188[0][0]
__________________________________________________________________________________________________
activation_180 (Activation) (None, 14, 14, 384) 0 batch_normalization_184[0][0]
__________________________________________________________________________________________________
activation_184 (Activation) (None, 14, 14, 384) 0 batch_normalization_188[0][0]
__________________________________________________________________________________________________
conv2d_185 (Conv2D) (None, 14, 14, 384) 442368 activation_180[0][0]
__________________________________________________________________________________________________
conv2d_186 (Conv2D) (None, 14, 14, 384) 442368 activation_180[0][0]
__________________________________________________________________________________________________
conv2d_189 (Conv2D) (None, 14, 14, 384) 442368 activation_184[0][0]
__________________________________________________________________________________________________
conv2d_190 (Conv2D) (None, 14, 14, 384) 442368 activation_184[0][0]
__________________________________________________________________________________________________
average_pooling2d_17 (AveragePo (None, 14, 14, 2048) 0 mixed9[0][0]
__________________________________________________________________________________________________
conv2d_183 (Conv2D) (None, 14, 14, 320) 655360 mixed9[0][0]
__________________________________________________________________________________________________
batch_normalization_185 (BatchN (None, 14, 14, 384) 1152 conv2d_185[0][0]
__________________________________________________________________________________________________
batch_normalization_186 (BatchN (None, 14, 14, 384) 1152 conv2d_186[0][0]
__________________________________________________________________________________________________
batch_normalization_189 (BatchN (None, 14, 14, 384) 1152 conv2d_189[0][0]
__________________________________________________________________________________________________
batch_normalization_190 (BatchN (None, 14, 14, 384) 1152 conv2d_190[0][0]
__________________________________________________________________________________________________
conv2d_191 (Conv2D) (None, 14, 14, 192) 393216 average_pooling2d_17[0][0]
__________________________________________________________________________________________________
batch_normalization_183 (BatchN (None, 14, 14, 320) 960 conv2d_183[0][0]
__________________________________________________________________________________________________
activation_181 (Activation) (None, 14, 14, 384) 0 batch_normalization_185[0][0]
__________________________________________________________________________________________________
activation_182 (Activation) (None, 14, 14, 384) 0 batch_normalization_186[0][0]
__________________________________________________________________________________________________
activation_185 (Activation) (None, 14, 14, 384) 0 batch_normalization_189[0][0]
__________________________________________________________________________________________________
activation_186 (Activation) (None, 14, 14, 384) 0 batch_normalization_190[0][0]
__________________________________________________________________________________________________
batch_normalization_191 (BatchN (None, 14, 14, 192) 576 conv2d_191[0][0]
__________________________________________________________________________________________________
activation_179 (Activation) (None, 14, 14, 320) 0 batch_normalization_183[0][0]
__________________________________________________________________________________________________
mixed9_1 (Concatenate) (None, 14, 14, 768) 0 activation_181[0][0]
activation_182[0][0]
__________________________________________________________________________________________________
concatenate_3 (Concatenate) (None, 14, 14, 768) 0 activation_185[0][0]
activation_186[0][0]
__________________________________________________________________________________________________
activation_187 (Activation) (None, 14, 14, 192) 0 batch_normalization_191[0][0]
__________________________________________________________________________________________________
mixed10 (Concatenate) (None, 14, 14, 2048) 0 activation_179[0][0]
mixed9_1[0][0]
concatenate_3[0][0]
activation_187[0][0]
__________________________________________________________________________________________________
global_average_pooling2d_4 (Glo (None, 2048) 0 mixed10[0][0]
__________________________________________________________________________________________________
dense_4 (Dense) (None, 2) 4098 global_average_pooling2d_4[0][0]
==================================================================================================
Total params: 21,806,882
Trainable params: 21,772,450
Non-trainable params: 34,432
__________________________________________________________________________________________________
predict("/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0001769.jpg", model_architecture, weight_path)
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0001769.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb276ba9c10> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5 Model Weights: None Prediction... Melanoma : 0.8932921 | Other : 0.10670786
[1.0, 0.0]
model_architecture = xception_architecture()
weight_path = "/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5"
Model: "model_5"
__________________________________________________________________________________________________
Layer (type) Output Shape Param # Connected to
==================================================================================================
input_6 (InputLayer) [(None, 512, 512, 3) 0
__________________________________________________________________________________________________
block1_conv1 (Conv2D) (None, 255, 255, 32) 864 input_6[0][0]
__________________________________________________________________________________________________
block1_conv1_bn (BatchNormaliza (None, 255, 255, 32) 128 block1_conv1[0][0]
__________________________________________________________________________________________________
block1_conv1_act (Activation) (None, 255, 255, 32) 0 block1_conv1_bn[0][0]
__________________________________________________________________________________________________
block1_conv2 (Conv2D) (None, 253, 253, 64) 18432 block1_conv1_act[0][0]
__________________________________________________________________________________________________
block1_conv2_bn (BatchNormaliza (None, 253, 253, 64) 256 block1_conv2[0][0]
__________________________________________________________________________________________________
block1_conv2_act (Activation) (None, 253, 253, 64) 0 block1_conv2_bn[0][0]
__________________________________________________________________________________________________
block2_sepconv1 (SeparableConv2 (None, 253, 253, 128 8768 block1_conv2_act[0][0]
__________________________________________________________________________________________________
block2_sepconv1_bn (BatchNormal (None, 253, 253, 128 512 block2_sepconv1[0][0]
__________________________________________________________________________________________________
block2_sepconv2_act (Activation (None, 253, 253, 128 0 block2_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block2_sepconv2 (SeparableConv2 (None, 253, 253, 128 17536 block2_sepconv2_act[0][0]
__________________________________________________________________________________________________
block2_sepconv2_bn (BatchNormal (None, 253, 253, 128 512 block2_sepconv2[0][0]
__________________________________________________________________________________________________
conv2d_192 (Conv2D) (None, 127, 127, 128 8192 block1_conv2_act[0][0]
__________________________________________________________________________________________________
block2_pool (MaxPooling2D) (None, 127, 127, 128 0 block2_sepconv2_bn[0][0]
__________________________________________________________________________________________________
batch_normalization_192 (BatchN (None, 127, 127, 128 512 conv2d_192[0][0]
__________________________________________________________________________________________________
add_12 (Add) (None, 127, 127, 128 0 block2_pool[0][0]
batch_normalization_192[0][0]
__________________________________________________________________________________________________
block3_sepconv1_act (Activation (None, 127, 127, 128 0 add_12[0][0]
__________________________________________________________________________________________________
block3_sepconv1 (SeparableConv2 (None, 127, 127, 256 33920 block3_sepconv1_act[0][0]
__________________________________________________________________________________________________
block3_sepconv1_bn (BatchNormal (None, 127, 127, 256 1024 block3_sepconv1[0][0]
__________________________________________________________________________________________________
block3_sepconv2_act (Activation (None, 127, 127, 256 0 block3_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block3_sepconv2 (SeparableConv2 (None, 127, 127, 256 67840 block3_sepconv2_act[0][0]
__________________________________________________________________________________________________
block3_sepconv2_bn (BatchNormal (None, 127, 127, 256 1024 block3_sepconv2[0][0]
__________________________________________________________________________________________________
conv2d_193 (Conv2D) (None, 64, 64, 256) 32768 add_12[0][0]
__________________________________________________________________________________________________
block3_pool (MaxPooling2D) (None, 64, 64, 256) 0 block3_sepconv2_bn[0][0]
__________________________________________________________________________________________________
batch_normalization_193 (BatchN (None, 64, 64, 256) 1024 conv2d_193[0][0]
__________________________________________________________________________________________________
add_13 (Add) (None, 64, 64, 256) 0 block3_pool[0][0]
batch_normalization_193[0][0]
__________________________________________________________________________________________________
block4_sepconv1_act (Activation (None, 64, 64, 256) 0 add_13[0][0]
__________________________________________________________________________________________________
block4_sepconv1 (SeparableConv2 (None, 64, 64, 728) 188672 block4_sepconv1_act[0][0]
__________________________________________________________________________________________________
block4_sepconv1_bn (BatchNormal (None, 64, 64, 728) 2912 block4_sepconv1[0][0]
__________________________________________________________________________________________________
block4_sepconv2_act (Activation (None, 64, 64, 728) 0 block4_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block4_sepconv2 (SeparableConv2 (None, 64, 64, 728) 536536 block4_sepconv2_act[0][0]
__________________________________________________________________________________________________
block4_sepconv2_bn (BatchNormal (None, 64, 64, 728) 2912 block4_sepconv2[0][0]
__________________________________________________________________________________________________
conv2d_194 (Conv2D) (None, 32, 32, 728) 186368 add_13[0][0]
__________________________________________________________________________________________________
block4_pool (MaxPooling2D) (None, 32, 32, 728) 0 block4_sepconv2_bn[0][0]
__________________________________________________________________________________________________
batch_normalization_194 (BatchN (None, 32, 32, 728) 2912 conv2d_194[0][0]
__________________________________________________________________________________________________
add_14 (Add) (None, 32, 32, 728) 0 block4_pool[0][0]
batch_normalization_194[0][0]
__________________________________________________________________________________________________
block5_sepconv1_act (Activation (None, 32, 32, 728) 0 add_14[0][0]
__________________________________________________________________________________________________
block5_sepconv1 (SeparableConv2 (None, 32, 32, 728) 536536 block5_sepconv1_act[0][0]
__________________________________________________________________________________________________
block5_sepconv1_bn (BatchNormal (None, 32, 32, 728) 2912 block5_sepconv1[0][0]
__________________________________________________________________________________________________
block5_sepconv2_act (Activation (None, 32, 32, 728) 0 block5_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block5_sepconv2 (SeparableConv2 (None, 32, 32, 728) 536536 block5_sepconv2_act[0][0]
__________________________________________________________________________________________________
block5_sepconv2_bn (BatchNormal (None, 32, 32, 728) 2912 block5_sepconv2[0][0]
__________________________________________________________________________________________________
block5_sepconv3_act (Activation (None, 32, 32, 728) 0 block5_sepconv2_bn[0][0]
__________________________________________________________________________________________________
block5_sepconv3 (SeparableConv2 (None, 32, 32, 728) 536536 block5_sepconv3_act[0][0]
__________________________________________________________________________________________________
block5_sepconv3_bn (BatchNormal (None, 32, 32, 728) 2912 block5_sepconv3[0][0]
__________________________________________________________________________________________________
add_15 (Add) (None, 32, 32, 728) 0 block5_sepconv3_bn[0][0]
add_14[0][0]
__________________________________________________________________________________________________
block6_sepconv1_act (Activation (None, 32, 32, 728) 0 add_15[0][0]
__________________________________________________________________________________________________
block6_sepconv1 (SeparableConv2 (None, 32, 32, 728) 536536 block6_sepconv1_act[0][0]
__________________________________________________________________________________________________
block6_sepconv1_bn (BatchNormal (None, 32, 32, 728) 2912 block6_sepconv1[0][0]
__________________________________________________________________________________________________
block6_sepconv2_act (Activation (None, 32, 32, 728) 0 block6_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block6_sepconv2 (SeparableConv2 (None, 32, 32, 728) 536536 block6_sepconv2_act[0][0]
__________________________________________________________________________________________________
block6_sepconv2_bn (BatchNormal (None, 32, 32, 728) 2912 block6_sepconv2[0][0]
__________________________________________________________________________________________________
block6_sepconv3_act (Activation (None, 32, 32, 728) 0 block6_sepconv2_bn[0][0]
__________________________________________________________________________________________________
block6_sepconv3 (SeparableConv2 (None, 32, 32, 728) 536536 block6_sepconv3_act[0][0]
__________________________________________________________________________________________________
block6_sepconv3_bn (BatchNormal (None, 32, 32, 728) 2912 block6_sepconv3[0][0]
__________________________________________________________________________________________________
add_16 (Add) (None, 32, 32, 728) 0 block6_sepconv3_bn[0][0]
add_15[0][0]
__________________________________________________________________________________________________
block7_sepconv1_act (Activation (None, 32, 32, 728) 0 add_16[0][0]
__________________________________________________________________________________________________
block7_sepconv1 (SeparableConv2 (None, 32, 32, 728) 536536 block7_sepconv1_act[0][0]
__________________________________________________________________________________________________
block7_sepconv1_bn (BatchNormal (None, 32, 32, 728) 2912 block7_sepconv1[0][0]
__________________________________________________________________________________________________
block7_sepconv2_act (Activation (None, 32, 32, 728) 0 block7_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block7_sepconv2 (SeparableConv2 (None, 32, 32, 728) 536536 block7_sepconv2_act[0][0]
__________________________________________________________________________________________________
block7_sepconv2_bn (BatchNormal (None, 32, 32, 728) 2912 block7_sepconv2[0][0]
__________________________________________________________________________________________________
block7_sepconv3_act (Activation (None, 32, 32, 728) 0 block7_sepconv2_bn[0][0]
__________________________________________________________________________________________________
block7_sepconv3 (SeparableConv2 (None, 32, 32, 728) 536536 block7_sepconv3_act[0][0]
__________________________________________________________________________________________________
block7_sepconv3_bn (BatchNormal (None, 32, 32, 728) 2912 block7_sepconv3[0][0]
__________________________________________________________________________________________________
add_17 (Add) (None, 32, 32, 728) 0 block7_sepconv3_bn[0][0]
add_16[0][0]
__________________________________________________________________________________________________
block8_sepconv1_act (Activation (None, 32, 32, 728) 0 add_17[0][0]
__________________________________________________________________________________________________
block8_sepconv1 (SeparableConv2 (None, 32, 32, 728) 536536 block8_sepconv1_act[0][0]
__________________________________________________________________________________________________
block8_sepconv1_bn (BatchNormal (None, 32, 32, 728) 2912 block8_sepconv1[0][0]
__________________________________________________________________________________________________
block8_sepconv2_act (Activation (None, 32, 32, 728) 0 block8_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block8_sepconv2 (SeparableConv2 (None, 32, 32, 728) 536536 block8_sepconv2_act[0][0]
__________________________________________________________________________________________________
block8_sepconv2_bn (BatchNormal (None, 32, 32, 728) 2912 block8_sepconv2[0][0]
__________________________________________________________________________________________________
block8_sepconv3_act (Activation (None, 32, 32, 728) 0 block8_sepconv2_bn[0][0]
__________________________________________________________________________________________________
block8_sepconv3 (SeparableConv2 (None, 32, 32, 728) 536536 block8_sepconv3_act[0][0]
__________________________________________________________________________________________________
block8_sepconv3_bn (BatchNormal (None, 32, 32, 728) 2912 block8_sepconv3[0][0]
__________________________________________________________________________________________________
add_18 (Add) (None, 32, 32, 728) 0 block8_sepconv3_bn[0][0]
add_17[0][0]
__________________________________________________________________________________________________
block9_sepconv1_act (Activation (None, 32, 32, 728) 0 add_18[0][0]
__________________________________________________________________________________________________
block9_sepconv1 (SeparableConv2 (None, 32, 32, 728) 536536 block9_sepconv1_act[0][0]
__________________________________________________________________________________________________
block9_sepconv1_bn (BatchNormal (None, 32, 32, 728) 2912 block9_sepconv1[0][0]
__________________________________________________________________________________________________
block9_sepconv2_act (Activation (None, 32, 32, 728) 0 block9_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block9_sepconv2 (SeparableConv2 (None, 32, 32, 728) 536536 block9_sepconv2_act[0][0]
__________________________________________________________________________________________________
block9_sepconv2_bn (BatchNormal (None, 32, 32, 728) 2912 block9_sepconv2[0][0]
__________________________________________________________________________________________________
block9_sepconv3_act (Activation (None, 32, 32, 728) 0 block9_sepconv2_bn[0][0]
__________________________________________________________________________________________________
block9_sepconv3 (SeparableConv2 (None, 32, 32, 728) 536536 block9_sepconv3_act[0][0]
__________________________________________________________________________________________________
block9_sepconv3_bn (BatchNormal (None, 32, 32, 728) 2912 block9_sepconv3[0][0]
__________________________________________________________________________________________________
add_19 (Add) (None, 32, 32, 728) 0 block9_sepconv3_bn[0][0]
add_18[0][0]
__________________________________________________________________________________________________
block10_sepconv1_act (Activatio (None, 32, 32, 728) 0 add_19[0][0]
__________________________________________________________________________________________________
block10_sepconv1 (SeparableConv (None, 32, 32, 728) 536536 block10_sepconv1_act[0][0]
__________________________________________________________________________________________________
block10_sepconv1_bn (BatchNorma (None, 32, 32, 728) 2912 block10_sepconv1[0][0]
__________________________________________________________________________________________________
block10_sepconv2_act (Activatio (None, 32, 32, 728) 0 block10_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block10_sepconv2 (SeparableConv (None, 32, 32, 728) 536536 block10_sepconv2_act[0][0]
__________________________________________________________________________________________________
block10_sepconv2_bn (BatchNorma (None, 32, 32, 728) 2912 block10_sepconv2[0][0]
__________________________________________________________________________________________________
block10_sepconv3_act (Activatio (None, 32, 32, 728) 0 block10_sepconv2_bn[0][0]
__________________________________________________________________________________________________
block10_sepconv3 (SeparableConv (None, 32, 32, 728) 536536 block10_sepconv3_act[0][0]
__________________________________________________________________________________________________
block10_sepconv3_bn (BatchNorma (None, 32, 32, 728) 2912 block10_sepconv3[0][0]
__________________________________________________________________________________________________
add_20 (Add) (None, 32, 32, 728) 0 block10_sepconv3_bn[0][0]
add_19[0][0]
__________________________________________________________________________________________________
block11_sepconv1_act (Activatio (None, 32, 32, 728) 0 add_20[0][0]
__________________________________________________________________________________________________
block11_sepconv1 (SeparableConv (None, 32, 32, 728) 536536 block11_sepconv1_act[0][0]
__________________________________________________________________________________________________
block11_sepconv1_bn (BatchNorma (None, 32, 32, 728) 2912 block11_sepconv1[0][0]
__________________________________________________________________________________________________
block11_sepconv2_act (Activatio (None, 32, 32, 728) 0 block11_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block11_sepconv2 (SeparableConv (None, 32, 32, 728) 536536 block11_sepconv2_act[0][0]
__________________________________________________________________________________________________
block11_sepconv2_bn (BatchNorma (None, 32, 32, 728) 2912 block11_sepconv2[0][0]
__________________________________________________________________________________________________
block11_sepconv3_act (Activatio (None, 32, 32, 728) 0 block11_sepconv2_bn[0][0]
__________________________________________________________________________________________________
block11_sepconv3 (SeparableConv (None, 32, 32, 728) 536536 block11_sepconv3_act[0][0]
__________________________________________________________________________________________________
block11_sepconv3_bn (BatchNorma (None, 32, 32, 728) 2912 block11_sepconv3[0][0]
__________________________________________________________________________________________________
add_21 (Add) (None, 32, 32, 728) 0 block11_sepconv3_bn[0][0]
add_20[0][0]
__________________________________________________________________________________________________
block12_sepconv1_act (Activatio (None, 32, 32, 728) 0 add_21[0][0]
__________________________________________________________________________________________________
block12_sepconv1 (SeparableConv (None, 32, 32, 728) 536536 block12_sepconv1_act[0][0]
__________________________________________________________________________________________________
block12_sepconv1_bn (BatchNorma (None, 32, 32, 728) 2912 block12_sepconv1[0][0]
__________________________________________________________________________________________________
block12_sepconv2_act (Activatio (None, 32, 32, 728) 0 block12_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block12_sepconv2 (SeparableConv (None, 32, 32, 728) 536536 block12_sepconv2_act[0][0]
__________________________________________________________________________________________________
block12_sepconv2_bn (BatchNorma (None, 32, 32, 728) 2912 block12_sepconv2[0][0]
__________________________________________________________________________________________________
block12_sepconv3_act (Activatio (None, 32, 32, 728) 0 block12_sepconv2_bn[0][0]
__________________________________________________________________________________________________
block12_sepconv3 (SeparableConv (None, 32, 32, 728) 536536 block12_sepconv3_act[0][0]
__________________________________________________________________________________________________
block12_sepconv3_bn (BatchNorma (None, 32, 32, 728) 2912 block12_sepconv3[0][0]
__________________________________________________________________________________________________
add_22 (Add) (None, 32, 32, 728) 0 block12_sepconv3_bn[0][0]
add_21[0][0]
__________________________________________________________________________________________________
block13_sepconv1_act (Activatio (None, 32, 32, 728) 0 add_22[0][0]
__________________________________________________________________________________________________
block13_sepconv1 (SeparableConv (None, 32, 32, 728) 536536 block13_sepconv1_act[0][0]
__________________________________________________________________________________________________
block13_sepconv1_bn (BatchNorma (None, 32, 32, 728) 2912 block13_sepconv1[0][0]
__________________________________________________________________________________________________
block13_sepconv2_act (Activatio (None, 32, 32, 728) 0 block13_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block13_sepconv2 (SeparableConv (None, 32, 32, 1024) 752024 block13_sepconv2_act[0][0]
__________________________________________________________________________________________________
block13_sepconv2_bn (BatchNorma (None, 32, 32, 1024) 4096 block13_sepconv2[0][0]
__________________________________________________________________________________________________
conv2d_195 (Conv2D) (None, 16, 16, 1024) 745472 add_22[0][0]
__________________________________________________________________________________________________
block13_pool (MaxPooling2D) (None, 16, 16, 1024) 0 block13_sepconv2_bn[0][0]
__________________________________________________________________________________________________
batch_normalization_195 (BatchN (None, 16, 16, 1024) 4096 conv2d_195[0][0]
__________________________________________________________________________________________________
add_23 (Add) (None, 16, 16, 1024) 0 block13_pool[0][0]
batch_normalization_195[0][0]
__________________________________________________________________________________________________
block14_sepconv1 (SeparableConv (None, 16, 16, 1536) 1582080 add_23[0][0]
__________________________________________________________________________________________________
block14_sepconv1_bn (BatchNorma (None, 16, 16, 1536) 6144 block14_sepconv1[0][0]
__________________________________________________________________________________________________
block14_sepconv1_act (Activatio (None, 16, 16, 1536) 0 block14_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block14_sepconv2 (SeparableConv (None, 16, 16, 2048) 3159552 block14_sepconv1_act[0][0]
__________________________________________________________________________________________________
block14_sepconv2_bn (BatchNorma (None, 16, 16, 2048) 8192 block14_sepconv2[0][0]
__________________________________________________________________________________________________
block14_sepconv2_act (Activatio (None, 16, 16, 2048) 0 block14_sepconv2_bn[0][0]
__________________________________________________________________________________________________
global_average_pooling2d_5 (Glo (None, 2048) 0 block14_sepconv2_act[0][0]
__________________________________________________________________________________________________
dense_5 (Dense) (None, 2) 4098 global_average_pooling2d_5[0][0]
==================================================================================================
Total params: 20,865,578
Trainable params: 20,811,050
Non-trainable params: 54,528
__________________________________________________________________________________________________
predict("/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0001769.jpg", model_architecture, weight_path)
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0001769.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb3782db490> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5 Model Weights: None Prediction... Melanoma : 0.6022564 | Other : 0.39774355
[1.0, 0.0]
Working Flowchart:
def compute_roc(y_true, y_score):
"""
Computing the "Receiving Operating Characteristic curve" and area
"""
false_positive_rate, true_positive_rate, thresholds = roc_curve(y_true, y_score)
auroc = auc(false_positive_rate, true_positive_rate)
return false_positive_rate, true_positive_rate, auroc
def plot_roc(y_true, y_score):
"""
Ploting the Receiving Operating Characteristic curve
"""
false_positive_rate, true_positive_rate, auroc = compute_roc(y_true, y_score)
plt.figure(figsize=(10,6))
plt.grid()
plt.plot(false_positive_rate,
true_positive_rate,
color='darkorange',
lw=2,
label='ROC curve (area = {:.2f})'.format(auroc))
plt.plot([0, 1], [0, 1], color='navy', lw=2, linestyle='--')
plt.xlim([0.0, 1.0])
plt.ylim([0.0, 1.05])
plt.xlabel('False Positive Rate', fontsize=12)
plt.ylabel('True Positive Rate', fontsize=12)
plt.title('Receiver operating characteristic example', fontsize=15)
plt.legend(loc="lower right", fontsize=14)
plt.show()
plt.style.available
['Solarize_Light2', '_classic_test_patch', 'bmh', 'classic', 'dark_background', 'fast', 'fivethirtyeight', 'ggplot', 'grayscale', 'seaborn', 'seaborn-bright', 'seaborn-colorblind', 'seaborn-dark', 'seaborn-dark-palette', 'seaborn-darkgrid', 'seaborn-deep', 'seaborn-muted', 'seaborn-notebook', 'seaborn-paper', 'seaborn-pastel', 'seaborn-poster', 'seaborn-talk', 'seaborn-ticks', 'seaborn-white', 'seaborn-whitegrid', 'tableau-colorblind10']
plt.style.use("seaborn-white")
# Compute test set predictions
#model_architecture,path_model_weight
NUMBER_TEST_SAMPLES = 150
mobilenet_architecture_function = mobilenet_architecture()
mobilenet_architecture_weight_path = "/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5"
y_true_MobileNet = valid_targets[:NUMBER_TEST_SAMPLES]
y_score_MobileNet = []
for index in range(NUMBER_TEST_SAMPLES): #compute one at a time due to memory constraints
probs = predict(img_path = validation_files[index], model_architecture = mobilenet_architecture_function, path_model_weight = mobilenet_architecture_weight_path)
print("Real values..." + "Melanoma : ", valid_targets[index][0], " | Other : ", valid_targets[index][1])
print("---------------------------------------------------------------------------")
y_score_MobileNet.append(probs)
correct_MobileNet = np.array(y_true_MobileNet) == np.array(y_score_MobileNet)
Model: "model_6" _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= input_7 (InputLayer) [(None, 512, 512, 3)] 0 _________________________________________________________________ conv1 (Conv2D) (None, 256, 256, 32) 864 _________________________________________________________________ conv1_bn (BatchNormalization (None, 256, 256, 32) 128 _________________________________________________________________ conv1_relu (ReLU) (None, 256, 256, 32) 0 _________________________________________________________________ conv_dw_1 (DepthwiseConv2D) (None, 256, 256, 32) 288 _________________________________________________________________ conv_dw_1_bn (BatchNormaliza (None, 256, 256, 32) 128 _________________________________________________________________ conv_dw_1_relu (ReLU) (None, 256, 256, 32) 0 _________________________________________________________________ conv_pw_1 (Conv2D) (None, 256, 256, 64) 2048 _________________________________________________________________ conv_pw_1_bn (BatchNormaliza (None, 256, 256, 64) 256 _________________________________________________________________ conv_pw_1_relu (ReLU) (None, 256, 256, 64) 0 _________________________________________________________________ conv_pad_2 (ZeroPadding2D) (None, 257, 257, 64) 0 _________________________________________________________________ conv_dw_2 (DepthwiseConv2D) (None, 128, 128, 64) 576 _________________________________________________________________ conv_dw_2_bn (BatchNormaliza (None, 128, 128, 64) 256 _________________________________________________________________ conv_dw_2_relu (ReLU) (None, 128, 128, 64) 0 _________________________________________________________________ conv_pw_2 (Conv2D) (None, 128, 128, 128) 8192 _________________________________________________________________ conv_pw_2_bn (BatchNormaliza (None, 128, 128, 128) 512 _________________________________________________________________ conv_pw_2_relu (ReLU) (None, 128, 128, 128) 0 _________________________________________________________________ conv_dw_3 (DepthwiseConv2D) (None, 128, 128, 128) 1152 _________________________________________________________________ conv_dw_3_bn (BatchNormaliza (None, 128, 128, 128) 512 _________________________________________________________________ conv_dw_3_relu (ReLU) (None, 128, 128, 128) 0 _________________________________________________________________ conv_pw_3 (Conv2D) (None, 128, 128, 128) 16384 _________________________________________________________________ conv_pw_3_bn (BatchNormaliza (None, 128, 128, 128) 512 _________________________________________________________________ conv_pw_3_relu (ReLU) (None, 128, 128, 128) 0 _________________________________________________________________ conv_pad_4 (ZeroPadding2D) (None, 129, 129, 128) 0 _________________________________________________________________ conv_dw_4 (DepthwiseConv2D) (None, 64, 64, 128) 1152 _________________________________________________________________ conv_dw_4_bn (BatchNormaliza (None, 64, 64, 128) 512 _________________________________________________________________ conv_dw_4_relu (ReLU) (None, 64, 64, 128) 0 _________________________________________________________________ conv_pw_4 (Conv2D) (None, 64, 64, 256) 32768 _________________________________________________________________ conv_pw_4_bn (BatchNormaliza (None, 64, 64, 256) 1024 _________________________________________________________________ conv_pw_4_relu (ReLU) (None, 64, 64, 256) 0 _________________________________________________________________ conv_dw_5 (DepthwiseConv2D) (None, 64, 64, 256) 2304 _________________________________________________________________ conv_dw_5_bn (BatchNormaliza (None, 64, 64, 256) 1024 _________________________________________________________________ conv_dw_5_relu (ReLU) (None, 64, 64, 256) 0 _________________________________________________________________ conv_pw_5 (Conv2D) (None, 64, 64, 256) 65536 _________________________________________________________________ conv_pw_5_bn (BatchNormaliza (None, 64, 64, 256) 1024 _________________________________________________________________ conv_pw_5_relu (ReLU) (None, 64, 64, 256) 0 _________________________________________________________________ conv_pad_6 (ZeroPadding2D) (None, 65, 65, 256) 0 _________________________________________________________________ conv_dw_6 (DepthwiseConv2D) (None, 32, 32, 256) 2304 _________________________________________________________________ conv_dw_6_bn (BatchNormaliza (None, 32, 32, 256) 1024 _________________________________________________________________ conv_dw_6_relu (ReLU) (None, 32, 32, 256) 0 _________________________________________________________________ conv_pw_6 (Conv2D) (None, 32, 32, 512) 131072 _________________________________________________________________ conv_pw_6_bn (BatchNormaliza (None, 32, 32, 512) 2048 _________________________________________________________________ conv_pw_6_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_dw_7 (DepthwiseConv2D) (None, 32, 32, 512) 4608 _________________________________________________________________ conv_dw_7_bn (BatchNormaliza (None, 32, 32, 512) 2048 _________________________________________________________________ conv_dw_7_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_pw_7 (Conv2D) (None, 32, 32, 512) 262144 _________________________________________________________________ conv_pw_7_bn (BatchNormaliza (None, 32, 32, 512) 2048 _________________________________________________________________ conv_pw_7_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_dw_8 (DepthwiseConv2D) (None, 32, 32, 512) 4608 _________________________________________________________________ conv_dw_8_bn (BatchNormaliza (None, 32, 32, 512) 2048 _________________________________________________________________ conv_dw_8_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_pw_8 (Conv2D) (None, 32, 32, 512) 262144 _________________________________________________________________ conv_pw_8_bn (BatchNormaliza (None, 32, 32, 512) 2048 _________________________________________________________________ conv_pw_8_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_dw_9 (DepthwiseConv2D) (None, 32, 32, 512) 4608 _________________________________________________________________ conv_dw_9_bn (BatchNormaliza (None, 32, 32, 512) 2048 _________________________________________________________________ conv_dw_9_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_pw_9 (Conv2D) (None, 32, 32, 512) 262144 _________________________________________________________________ conv_pw_9_bn (BatchNormaliza (None, 32, 32, 512) 2048 _________________________________________________________________ conv_pw_9_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_dw_10 (DepthwiseConv2D) (None, 32, 32, 512) 4608 _________________________________________________________________ conv_dw_10_bn (BatchNormaliz (None, 32, 32, 512) 2048 _________________________________________________________________ conv_dw_10_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_pw_10 (Conv2D) (None, 32, 32, 512) 262144 _________________________________________________________________ conv_pw_10_bn (BatchNormaliz (None, 32, 32, 512) 2048 _________________________________________________________________ conv_pw_10_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_dw_11 (DepthwiseConv2D) (None, 32, 32, 512) 4608 _________________________________________________________________ conv_dw_11_bn (BatchNormaliz (None, 32, 32, 512) 2048 _________________________________________________________________ conv_dw_11_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_pw_11 (Conv2D) (None, 32, 32, 512) 262144 _________________________________________________________________ conv_pw_11_bn (BatchNormaliz (None, 32, 32, 512) 2048 _________________________________________________________________ conv_pw_11_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_pad_12 (ZeroPadding2D) (None, 33, 33, 512) 0 _________________________________________________________________ conv_dw_12 (DepthwiseConv2D) (None, 16, 16, 512) 4608 _________________________________________________________________ conv_dw_12_bn (BatchNormaliz (None, 16, 16, 512) 2048 _________________________________________________________________ conv_dw_12_relu (ReLU) (None, 16, 16, 512) 0 _________________________________________________________________ conv_pw_12 (Conv2D) (None, 16, 16, 1024) 524288 _________________________________________________________________ conv_pw_12_bn (BatchNormaliz (None, 16, 16, 1024) 4096 _________________________________________________________________ conv_pw_12_relu (ReLU) (None, 16, 16, 1024) 0 _________________________________________________________________ conv_dw_13 (DepthwiseConv2D) (None, 16, 16, 1024) 9216 _________________________________________________________________ conv_dw_13_bn (BatchNormaliz (None, 16, 16, 1024) 4096 _________________________________________________________________ conv_dw_13_relu (ReLU) (None, 16, 16, 1024) 0 _________________________________________________________________ conv_pw_13 (Conv2D) (None, 16, 16, 1024) 1048576 _________________________________________________________________ conv_pw_13_bn (BatchNormaliz (None, 16, 16, 1024) 4096 _________________________________________________________________ conv_pw_13_relu (ReLU) (None, 16, 16, 1024) 0 _________________________________________________________________ global_average_pooling2d_6 ( (None, 1024) 0 _________________________________________________________________ dense_6 (Dense) (None, 2) 2050 ================================================================= Total params: 3,230,914 Trainable params: 3,209,026 Non-trainable params: 21,888 _________________________________________________________________ Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0004337.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8881906 | Other : 0.11180934 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0001769.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8878556 | Other : 0.11214436 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0003582.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8884766 | Other : 0.11152334 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0003539.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8880564 | Other : 0.11194367 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0003805.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.887947 | Other : 0.11205301 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0006651.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8872876 | Other : 0.1127124 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0001852.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8881772 | Other : 0.11182279 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0003657.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8881499 | Other : 0.11185002 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0003462.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8874755 | Other : 0.11252455 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0001871.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8871602 | Other : 0.11283979 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0007241.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88718355 | Other : 0.11281645 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0006815.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88728464 | Other : 0.11271535 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0006914.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88717246 | Other : 0.112827554 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0007141.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88698703 | Other : 0.11301297 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0007344.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88778174 | Other : 0.11221828 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0007235.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8868339 | Other : 0.11316609 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0007796.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88745826 | Other : 0.11254169 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0008025.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.887834 | Other : 0.11216601 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0008524.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88783336 | Other : 0.11216671 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0007528.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88800776 | Other : 0.11199225 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0007156.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88553494 | Other : 0.11446508 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0007332.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88592917 | Other : 0.11407082 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0006671.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88731647 | Other : 0.11268352 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0010459.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88590485 | Other : 0.114095174 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012099.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8871294 | Other : 0.11287054 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012126.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8862669 | Other : 0.113733165 Real values...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012160.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88748974 | Other : 0.11251024 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0009995.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8866407 | Other : 0.11335926 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012127.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8860149 | Other : 0.11398512 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012151.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.886278 | Other : 0.113722034 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012204.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88696855 | Other : 0.113031484 Real values...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012143.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8863191 | Other : 0.11368089 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012191.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88706326 | Other : 0.112936676 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012109.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8860991 | Other : 0.11390089 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012159.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88741803 | Other : 0.11258205 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012201.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8881112 | Other : 0.111888774 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012316.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88656276 | Other : 0.113437235 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012306.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8880089 | Other : 0.11199105 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012206.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8879006 | Other : 0.11209944 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012313.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88820034 | Other : 0.11179966 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012380.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88589734 | Other : 0.11410263 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012256.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8883873 | Other : 0.1116127 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012222.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8864915 | Other : 0.11350856 Real values...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012335.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8862915 | Other : 0.11370849 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012383.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88788766 | Other : 0.112112336 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012221.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8876418 | Other : 0.11235821 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012288.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88771427 | Other : 0.11228568 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012254.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8878243 | Other : 0.1121757 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012210.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8881639 | Other : 0.11183602 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012876.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88541204 | Other : 0.114587925 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012720.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8882264 | Other : 0.11177365 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012434.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8872927 | Other : 0.1127073 Real values...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012538.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88556963 | Other : 0.11443039 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012684.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88639545 | Other : 0.11360453 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012746.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8879224 | Other : 0.11207761 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012417.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8869916 | Other : 0.11300835 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012400.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8875345 | Other : 0.112465434 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012547.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88588834 | Other : 0.11411169 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012513.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88620186 | Other : 0.11379817 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012492.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88670063 | Other : 0.11329944 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012660.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8860158 | Other : 0.113984175 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013082.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8860958 | Other : 0.11390419 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013132.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88709277 | Other : 0.11290721 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013127.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88765246 | Other : 0.11234754 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013188.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8864243 | Other : 0.11357571 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012965.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8864001 | Other : 0.113599874 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012927.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88576263 | Other : 0.1142374 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012956.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8876488 | Other : 0.11235114 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013215.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8873123 | Other : 0.11268765 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013104.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8875056 | Other : 0.11249436 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013128.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8872255 | Other : 0.112774484 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012959.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.886071 | Other : 0.11392903 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013010.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8874715 | Other : 0.1125285 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013491.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88647944 | Other : 0.113520525 Real values...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013549.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88719887 | Other : 0.11280119 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013562.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8863714 | Other : 0.11362862 Real values...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013501.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88731307 | Other : 0.11268699 Real values...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013232.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8881087 | Other : 0.111891344 Real values...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013637.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88802016 | Other : 0.111979865 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013632.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88583624 | Other : 0.114163704 Real values...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013561.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88624793 | Other : 0.113752104 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013518.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88743013 | Other : 0.11256987 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013527.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88690394 | Other : 0.11309607 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013421.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8872613 | Other : 0.11273873 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013644.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88667417 | Other : 0.113325775 Real values...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013898.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.886944 | Other : 0.11305603 Real values...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013828.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8874209 | Other : 0.112579055 Real values...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013663.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88684255 | Other : 0.113157526 Real values...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013863.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88686186 | Other : 0.11313815 Real values...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013702.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8868527 | Other : 0.113147356 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014037.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8872498 | Other : 0.11275015 Real values...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013736.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88653326 | Other : 0.113466725 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013651.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8876516 | Other : 0.11234833 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014038.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88706696 | Other : 0.112933055 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013945.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8880996 | Other : 0.11190037 Real values...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013793.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8860832 | Other : 0.11391685 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014211.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8869419 | Other : 0.113058135 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014217.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8875258 | Other : 0.11247423 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014428.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88667446 | Other : 0.11332554 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014178.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88715017 | Other : 0.11284987 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014382.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8870297 | Other : 0.112970345 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014055.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8872977 | Other : 0.112702385 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014310.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88709885 | Other : 0.112901144 Real values...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014302.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88710654 | Other : 0.112893485 Real values...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014139.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88728005 | Other : 0.11271993 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014212.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88658017 | Other : 0.11341979 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014162.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8863534 | Other : 0.113646574 Real values...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014618.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8861942 | Other : 0.113805756 Real values...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014610.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8862792 | Other : 0.11372073 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014601.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8857669 | Other : 0.114233084 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014620.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8863394 | Other : 0.11366055 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014616.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8860203 | Other : 0.11397965 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014623.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8862573 | Other : 0.11374273 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014572.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8862387 | Other : 0.11376131 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014558.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8873093 | Other : 0.11269065 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014624.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88633907 | Other : 0.11366094 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014633.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8868797 | Other : 0.113120355 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014597.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8866781 | Other : 0.11332185 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014608.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8860505 | Other : 0.113949455 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014611.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88610816 | Other : 0.113891795 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014568.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8863647 | Other : 0.113635294 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014829.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8879149 | Other : 0.11208513 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014635.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8860523 | Other : 0.11394771 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014857.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8865066 | Other : 0.11349335 Real values...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014931.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8865068 | Other : 0.11349315 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014809.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88648677 | Other : 0.113513194 Real values...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014637.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8857131 | Other : 0.1142869 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014712.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8867182 | Other : 0.11328179 Real values...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014688.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8866517 | Other : 0.113348335 Real values...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014937.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88550067 | Other : 0.11449934 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014985.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8872031 | Other : 0.112796895 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014945.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88625336 | Other : 0.11374662 Real values...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014989.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88563716 | Other : 0.11436284 Real values...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014946.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.885907 | Other : 0.11409298 Real values...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014979.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88739455 | Other : 0.112605475 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015124.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88495886 | Other : 0.11504115 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015243.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8868732 | Other : 0.11312685 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015144.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8853072 | Other : 0.11469281 Real values...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015062.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.886039 | Other : 0.113961 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015313.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8847107 | Other : 0.115289226 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015043.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8859675 | Other : 0.114032455 Real values...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015256.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8869993 | Other : 0.113000706 Real values...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015211.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88546646 | Other : 0.11453361 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015443.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8872178 | Other : 0.112782195 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015372.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88638186 | Other : 0.11361816 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015627.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8874476 | Other : 0.112552464 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015445.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88672537 | Other : 0.11327468 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015401.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.88569325 | Other : 0.11430671 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015496.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.885171 | Other : 0.11482901 Real values...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015483.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb275e25410> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 Model Weights: None Prediction... Melanoma : 0.8855857 | Other : 0.11441427 Real values...Melanoma : 1.0 | Other : 0.0 ---------------------------------------------------------------------------
print("Accuracy = %2.2f%%" % (np.mean(correct_MobileNet)*100))
Accuracy = 80.00%
# Re-ordering the actual y (for ROC)
y_true_2_MobileNet = []
for i in range(len(y_true_MobileNet)):
y_true_2_MobileNet.append(y_true_MobileNet[i][0])
# Re-ordering the predicte y (for ROC)
y_score_2_MobileNet = []
for i in range(len(y_score_MobileNet)):
y_score_2_MobileNet.append(y_score_MobileNet[i][0])
plot_roc(y_true_2_MobileNet, y_score_2_MobileNet)
def positive_negative_measurement(y_true, y_score):
# Initialization
TRUE_POSITIVE = 0
FALSE_POSITIVE = 0
TRUE_NEGATIVE = 0
FALSE_NEGATIVE = 0
# Calculating the model
for i in range(len(y_score)):
if y_true[i] == y_score[i] == 1:
TRUE_POSITIVE += 1
if (y_score[i] == 1) and (y_true[i] != y_score[i]):
FALSE_POSITIVE += 1
if y_true[i] == y_score[i] == 0:
TRUE_NEGATIVE += 1
if (y_score[i] == 0) and (y_true[i] != y_score[i]):
FALSE_NEGATIVE += 1
return(TRUE_POSITIVE, FALSE_POSITIVE, TRUE_NEGATIVE, FALSE_NEGATIVE)
TRUE_POSITIVE_MobileNet, FALSE_POSITIVE_MobileNet, TRUE_NEGATIVE_MobileNet, FALSE_NEGATIVE_MobileNet = positive_negative_measurement(y_true_2_MobileNet, y_score_2_MobileNet)
postives_negatives_MobileNet = [[TRUE_POSITIVE_MobileNet, FALSE_POSITIVE_MobileNet],
[FALSE_NEGATIVE_MobileNet, TRUE_NEGATIVE_MobileNet]]
postives_negatives_MobileNet
[[120, 30], [0, 0]]
sns.set()
labels_MobileNet = np.array([['True positive: ' + str(TRUE_POSITIVE_MobileNet),
'False positive: ' + str(FALSE_POSITIVE_MobileNet)],
['False negative: ' + str(FALSE_NEGATIVE_MobileNet),
'True negative: ' + str(TRUE_NEGATIVE_MobileNet)]])
plt.figure(figsize = (13, 10))
sns.heatmap(postives_negatives_MobileNet, annot = labels_MobileNet, linewidths = 0.1, fmt="", cmap = 'RdYlGn')
<matplotlib.axes._subplots.AxesSubplot at 0x7fb2751fa7d0>
labels_MobileNet
array([['True positive: 120', 'False positive: 30'],
['False negative: 0', 'True negative: 0']], dtype='<U18')
# Sensitivity | Recall | hit rate | true positive rate (TPR)
sensitivity_MobileNet = TRUE_POSITIVE_MobileNet / (TRUE_POSITIVE_MobileNet + FALSE_NEGATIVE_MobileNet)
print("Sensitivity: ", sensitivity_MobileNet)
Sensitivity: 1.0
# Specificity | selectivity | true negative rate (TNR)
try:
specifity_MobileNet = TRUE_NEGATIVE_MobileNet / (TRUE_NEGATIVE_MobileNet + FALSE_NEGATIVE_MobileNet)
print("Specifity: ", specifity_MobileNet)
except:
print("No Specificity due to NO NEGATIVE results.")
No Specificity due to NO NEGATIVE results.
# Precision | positive predictive value (PPV)
predcision_MobileNet = TRUE_POSITIVE_MobileNet / (TRUE_POSITIVE_MobileNet + FALSE_POSITIVE_MobileNet)
print("Precision: ", predcision_MobileNet)
Precision: 0.8
# Negative predictive value (NPV)
try:
npv_MobileNet = TRUE_NEGATIVE_MobileNet / (TRUE_NEGATIVE_MobileNet + FALSE_NEGATIVE_MobileNet)
print("Negative predictive value: ", npv_MobileNet)
except:
print("0 Negative Predictions")
0 Negative Predictions
# Accuracy
accuracy_MobileNet = (TRUE_POSITIVE_MobileNet + TRUE_NEGATIVE_MobileNet) / (TRUE_POSITIVE_MobileNet + FALSE_POSITIVE_MobileNet + TRUE_NEGATIVE_MobileNet + FALSE_NEGATIVE_MobileNet)
print("Accuracy: ", accuracy_MobileNet)
Accuracy: 0.8
# Compute test set predictions
#model_architecture,path_model_weight
NUMBER_TEST_SAMPLES_Inception = 150
inception_architecture_function = inception_architecture()
inception_architecture_weight_path = "/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5"
y_true_Inception = valid_targets[:NUMBER_TEST_SAMPLES_Inception]
y_score_Inception = []
for index in range(NUMBER_TEST_SAMPLES_Inception): #compute one at a time due to memory constraints
probs_Inception = predict(img_path = validation_files[index], model_architecture = inception_architecture_function, path_model_weight = inception_architecture_weight_path)
print("Real values {}...".format(index+1) + "Melanoma : ", valid_targets[index][0], " | Other : ", valid_targets[index][1])
print("---------------------------------------------------------------------------")
y_score_Inception.append(probs_Inception)
correct_Inception = np.array(y_true_Inception) == np.array(y_score_Inception)
Model: "model_7"
__________________________________________________________________________________________________
Layer (type) Output Shape Param # Connected to
==================================================================================================
input_8 (InputLayer) [(None, 512, 512, 3) 0
__________________________________________________________________________________________________
conv2d_196 (Conv2D) (None, 255, 255, 32) 864 input_8[0][0]
__________________________________________________________________________________________________
batch_normalization_196 (BatchN (None, 255, 255, 32) 96 conv2d_196[0][0]
__________________________________________________________________________________________________
activation_188 (Activation) (None, 255, 255, 32) 0 batch_normalization_196[0][0]
__________________________________________________________________________________________________
conv2d_197 (Conv2D) (None, 253, 253, 32) 9216 activation_188[0][0]
__________________________________________________________________________________________________
batch_normalization_197 (BatchN (None, 253, 253, 32) 96 conv2d_197[0][0]
__________________________________________________________________________________________________
activation_189 (Activation) (None, 253, 253, 32) 0 batch_normalization_197[0][0]
__________________________________________________________________________________________________
conv2d_198 (Conv2D) (None, 253, 253, 64) 18432 activation_189[0][0]
__________________________________________________________________________________________________
batch_normalization_198 (BatchN (None, 253, 253, 64) 192 conv2d_198[0][0]
__________________________________________________________________________________________________
activation_190 (Activation) (None, 253, 253, 64) 0 batch_normalization_198[0][0]
__________________________________________________________________________________________________
max_pooling2d_8 (MaxPooling2D) (None, 126, 126, 64) 0 activation_190[0][0]
__________________________________________________________________________________________________
conv2d_199 (Conv2D) (None, 126, 126, 80) 5120 max_pooling2d_8[0][0]
__________________________________________________________________________________________________
batch_normalization_199 (BatchN (None, 126, 126, 80) 240 conv2d_199[0][0]
__________________________________________________________________________________________________
activation_191 (Activation) (None, 126, 126, 80) 0 batch_normalization_199[0][0]
__________________________________________________________________________________________________
conv2d_200 (Conv2D) (None, 124, 124, 192 138240 activation_191[0][0]
__________________________________________________________________________________________________
batch_normalization_200 (BatchN (None, 124, 124, 192 576 conv2d_200[0][0]
__________________________________________________________________________________________________
activation_192 (Activation) (None, 124, 124, 192 0 batch_normalization_200[0][0]
__________________________________________________________________________________________________
max_pooling2d_9 (MaxPooling2D) (None, 61, 61, 192) 0 activation_192[0][0]
__________________________________________________________________________________________________
conv2d_204 (Conv2D) (None, 61, 61, 64) 12288 max_pooling2d_9[0][0]
__________________________________________________________________________________________________
batch_normalization_204 (BatchN (None, 61, 61, 64) 192 conv2d_204[0][0]
__________________________________________________________________________________________________
activation_196 (Activation) (None, 61, 61, 64) 0 batch_normalization_204[0][0]
__________________________________________________________________________________________________
conv2d_202 (Conv2D) (None, 61, 61, 48) 9216 max_pooling2d_9[0][0]
__________________________________________________________________________________________________
conv2d_205 (Conv2D) (None, 61, 61, 96) 55296 activation_196[0][0]
__________________________________________________________________________________________________
batch_normalization_202 (BatchN (None, 61, 61, 48) 144 conv2d_202[0][0]
__________________________________________________________________________________________________
batch_normalization_205 (BatchN (None, 61, 61, 96) 288 conv2d_205[0][0]
__________________________________________________________________________________________________
activation_194 (Activation) (None, 61, 61, 48) 0 batch_normalization_202[0][0]
__________________________________________________________________________________________________
activation_197 (Activation) (None, 61, 61, 96) 0 batch_normalization_205[0][0]
__________________________________________________________________________________________________
average_pooling2d_18 (AveragePo (None, 61, 61, 192) 0 max_pooling2d_9[0][0]
__________________________________________________________________________________________________
conv2d_201 (Conv2D) (None, 61, 61, 64) 12288 max_pooling2d_9[0][0]
__________________________________________________________________________________________________
conv2d_203 (Conv2D) (None, 61, 61, 64) 76800 activation_194[0][0]
__________________________________________________________________________________________________
conv2d_206 (Conv2D) (None, 61, 61, 96) 82944 activation_197[0][0]
__________________________________________________________________________________________________
conv2d_207 (Conv2D) (None, 61, 61, 32) 6144 average_pooling2d_18[0][0]
__________________________________________________________________________________________________
batch_normalization_201 (BatchN (None, 61, 61, 64) 192 conv2d_201[0][0]
__________________________________________________________________________________________________
batch_normalization_203 (BatchN (None, 61, 61, 64) 192 conv2d_203[0][0]
__________________________________________________________________________________________________
batch_normalization_206 (BatchN (None, 61, 61, 96) 288 conv2d_206[0][0]
__________________________________________________________________________________________________
batch_normalization_207 (BatchN (None, 61, 61, 32) 96 conv2d_207[0][0]
__________________________________________________________________________________________________
activation_193 (Activation) (None, 61, 61, 64) 0 batch_normalization_201[0][0]
__________________________________________________________________________________________________
activation_195 (Activation) (None, 61, 61, 64) 0 batch_normalization_203[0][0]
__________________________________________________________________________________________________
activation_198 (Activation) (None, 61, 61, 96) 0 batch_normalization_206[0][0]
__________________________________________________________________________________________________
activation_199 (Activation) (None, 61, 61, 32) 0 batch_normalization_207[0][0]
__________________________________________________________________________________________________
mixed0 (Concatenate) (None, 61, 61, 256) 0 activation_193[0][0]
activation_195[0][0]
activation_198[0][0]
activation_199[0][0]
__________________________________________________________________________________________________
conv2d_211 (Conv2D) (None, 61, 61, 64) 16384 mixed0[0][0]
__________________________________________________________________________________________________
batch_normalization_211 (BatchN (None, 61, 61, 64) 192 conv2d_211[0][0]
__________________________________________________________________________________________________
activation_203 (Activation) (None, 61, 61, 64) 0 batch_normalization_211[0][0]
__________________________________________________________________________________________________
conv2d_209 (Conv2D) (None, 61, 61, 48) 12288 mixed0[0][0]
__________________________________________________________________________________________________
conv2d_212 (Conv2D) (None, 61, 61, 96) 55296 activation_203[0][0]
__________________________________________________________________________________________________
batch_normalization_209 (BatchN (None, 61, 61, 48) 144 conv2d_209[0][0]
__________________________________________________________________________________________________
batch_normalization_212 (BatchN (None, 61, 61, 96) 288 conv2d_212[0][0]
__________________________________________________________________________________________________
activation_201 (Activation) (None, 61, 61, 48) 0 batch_normalization_209[0][0]
__________________________________________________________________________________________________
activation_204 (Activation) (None, 61, 61, 96) 0 batch_normalization_212[0][0]
__________________________________________________________________________________________________
average_pooling2d_19 (AveragePo (None, 61, 61, 256) 0 mixed0[0][0]
__________________________________________________________________________________________________
conv2d_208 (Conv2D) (None, 61, 61, 64) 16384 mixed0[0][0]
__________________________________________________________________________________________________
conv2d_210 (Conv2D) (None, 61, 61, 64) 76800 activation_201[0][0]
__________________________________________________________________________________________________
conv2d_213 (Conv2D) (None, 61, 61, 96) 82944 activation_204[0][0]
__________________________________________________________________________________________________
conv2d_214 (Conv2D) (None, 61, 61, 64) 16384 average_pooling2d_19[0][0]
__________________________________________________________________________________________________
batch_normalization_208 (BatchN (None, 61, 61, 64) 192 conv2d_208[0][0]
__________________________________________________________________________________________________
batch_normalization_210 (BatchN (None, 61, 61, 64) 192 conv2d_210[0][0]
__________________________________________________________________________________________________
batch_normalization_213 (BatchN (None, 61, 61, 96) 288 conv2d_213[0][0]
__________________________________________________________________________________________________
batch_normalization_214 (BatchN (None, 61, 61, 64) 192 conv2d_214[0][0]
__________________________________________________________________________________________________
activation_200 (Activation) (None, 61, 61, 64) 0 batch_normalization_208[0][0]
__________________________________________________________________________________________________
activation_202 (Activation) (None, 61, 61, 64) 0 batch_normalization_210[0][0]
__________________________________________________________________________________________________
activation_205 (Activation) (None, 61, 61, 96) 0 batch_normalization_213[0][0]
__________________________________________________________________________________________________
activation_206 (Activation) (None, 61, 61, 64) 0 batch_normalization_214[0][0]
__________________________________________________________________________________________________
mixed1 (Concatenate) (None, 61, 61, 288) 0 activation_200[0][0]
activation_202[0][0]
activation_205[0][0]
activation_206[0][0]
__________________________________________________________________________________________________
conv2d_218 (Conv2D) (None, 61, 61, 64) 18432 mixed1[0][0]
__________________________________________________________________________________________________
batch_normalization_218 (BatchN (None, 61, 61, 64) 192 conv2d_218[0][0]
__________________________________________________________________________________________________
activation_210 (Activation) (None, 61, 61, 64) 0 batch_normalization_218[0][0]
__________________________________________________________________________________________________
conv2d_216 (Conv2D) (None, 61, 61, 48) 13824 mixed1[0][0]
__________________________________________________________________________________________________
conv2d_219 (Conv2D) (None, 61, 61, 96) 55296 activation_210[0][0]
__________________________________________________________________________________________________
batch_normalization_216 (BatchN (None, 61, 61, 48) 144 conv2d_216[0][0]
__________________________________________________________________________________________________
batch_normalization_219 (BatchN (None, 61, 61, 96) 288 conv2d_219[0][0]
__________________________________________________________________________________________________
activation_208 (Activation) (None, 61, 61, 48) 0 batch_normalization_216[0][0]
__________________________________________________________________________________________________
activation_211 (Activation) (None, 61, 61, 96) 0 batch_normalization_219[0][0]
__________________________________________________________________________________________________
average_pooling2d_20 (AveragePo (None, 61, 61, 288) 0 mixed1[0][0]
__________________________________________________________________________________________________
conv2d_215 (Conv2D) (None, 61, 61, 64) 18432 mixed1[0][0]
__________________________________________________________________________________________________
conv2d_217 (Conv2D) (None, 61, 61, 64) 76800 activation_208[0][0]
__________________________________________________________________________________________________
conv2d_220 (Conv2D) (None, 61, 61, 96) 82944 activation_211[0][0]
__________________________________________________________________________________________________
conv2d_221 (Conv2D) (None, 61, 61, 64) 18432 average_pooling2d_20[0][0]
__________________________________________________________________________________________________
batch_normalization_215 (BatchN (None, 61, 61, 64) 192 conv2d_215[0][0]
__________________________________________________________________________________________________
batch_normalization_217 (BatchN (None, 61, 61, 64) 192 conv2d_217[0][0]
__________________________________________________________________________________________________
batch_normalization_220 (BatchN (None, 61, 61, 96) 288 conv2d_220[0][0]
__________________________________________________________________________________________________
batch_normalization_221 (BatchN (None, 61, 61, 64) 192 conv2d_221[0][0]
__________________________________________________________________________________________________
activation_207 (Activation) (None, 61, 61, 64) 0 batch_normalization_215[0][0]
__________________________________________________________________________________________________
activation_209 (Activation) (None, 61, 61, 64) 0 batch_normalization_217[0][0]
__________________________________________________________________________________________________
activation_212 (Activation) (None, 61, 61, 96) 0 batch_normalization_220[0][0]
__________________________________________________________________________________________________
activation_213 (Activation) (None, 61, 61, 64) 0 batch_normalization_221[0][0]
__________________________________________________________________________________________________
mixed2 (Concatenate) (None, 61, 61, 288) 0 activation_207[0][0]
activation_209[0][0]
activation_212[0][0]
activation_213[0][0]
__________________________________________________________________________________________________
conv2d_223 (Conv2D) (None, 61, 61, 64) 18432 mixed2[0][0]
__________________________________________________________________________________________________
batch_normalization_223 (BatchN (None, 61, 61, 64) 192 conv2d_223[0][0]
__________________________________________________________________________________________________
activation_215 (Activation) (None, 61, 61, 64) 0 batch_normalization_223[0][0]
__________________________________________________________________________________________________
conv2d_224 (Conv2D) (None, 61, 61, 96) 55296 activation_215[0][0]
__________________________________________________________________________________________________
batch_normalization_224 (BatchN (None, 61, 61, 96) 288 conv2d_224[0][0]
__________________________________________________________________________________________________
activation_216 (Activation) (None, 61, 61, 96) 0 batch_normalization_224[0][0]
__________________________________________________________________________________________________
conv2d_222 (Conv2D) (None, 30, 30, 384) 995328 mixed2[0][0]
__________________________________________________________________________________________________
conv2d_225 (Conv2D) (None, 30, 30, 96) 82944 activation_216[0][0]
__________________________________________________________________________________________________
batch_normalization_222 (BatchN (None, 30, 30, 384) 1152 conv2d_222[0][0]
__________________________________________________________________________________________________
batch_normalization_225 (BatchN (None, 30, 30, 96) 288 conv2d_225[0][0]
__________________________________________________________________________________________________
activation_214 (Activation) (None, 30, 30, 384) 0 batch_normalization_222[0][0]
__________________________________________________________________________________________________
activation_217 (Activation) (None, 30, 30, 96) 0 batch_normalization_225[0][0]
__________________________________________________________________________________________________
max_pooling2d_10 (MaxPooling2D) (None, 30, 30, 288) 0 mixed2[0][0]
__________________________________________________________________________________________________
mixed3 (Concatenate) (None, 30, 30, 768) 0 activation_214[0][0]
activation_217[0][0]
max_pooling2d_10[0][0]
__________________________________________________________________________________________________
conv2d_230 (Conv2D) (None, 30, 30, 128) 98304 mixed3[0][0]
__________________________________________________________________________________________________
batch_normalization_230 (BatchN (None, 30, 30, 128) 384 conv2d_230[0][0]
__________________________________________________________________________________________________
activation_222 (Activation) (None, 30, 30, 128) 0 batch_normalization_230[0][0]
__________________________________________________________________________________________________
conv2d_231 (Conv2D) (None, 30, 30, 128) 114688 activation_222[0][0]
__________________________________________________________________________________________________
batch_normalization_231 (BatchN (None, 30, 30, 128) 384 conv2d_231[0][0]
__________________________________________________________________________________________________
activation_223 (Activation) (None, 30, 30, 128) 0 batch_normalization_231[0][0]
__________________________________________________________________________________________________
conv2d_227 (Conv2D) (None, 30, 30, 128) 98304 mixed3[0][0]
__________________________________________________________________________________________________
conv2d_232 (Conv2D) (None, 30, 30, 128) 114688 activation_223[0][0]
__________________________________________________________________________________________________
batch_normalization_227 (BatchN (None, 30, 30, 128) 384 conv2d_227[0][0]
__________________________________________________________________________________________________
batch_normalization_232 (BatchN (None, 30, 30, 128) 384 conv2d_232[0][0]
__________________________________________________________________________________________________
activation_219 (Activation) (None, 30, 30, 128) 0 batch_normalization_227[0][0]
__________________________________________________________________________________________________
activation_224 (Activation) (None, 30, 30, 128) 0 batch_normalization_232[0][0]
__________________________________________________________________________________________________
conv2d_228 (Conv2D) (None, 30, 30, 128) 114688 activation_219[0][0]
__________________________________________________________________________________________________
conv2d_233 (Conv2D) (None, 30, 30, 128) 114688 activation_224[0][0]
__________________________________________________________________________________________________
batch_normalization_228 (BatchN (None, 30, 30, 128) 384 conv2d_228[0][0]
__________________________________________________________________________________________________
batch_normalization_233 (BatchN (None, 30, 30, 128) 384 conv2d_233[0][0]
__________________________________________________________________________________________________
activation_220 (Activation) (None, 30, 30, 128) 0 batch_normalization_228[0][0]
__________________________________________________________________________________________________
activation_225 (Activation) (None, 30, 30, 128) 0 batch_normalization_233[0][0]
__________________________________________________________________________________________________
average_pooling2d_21 (AveragePo (None, 30, 30, 768) 0 mixed3[0][0]
__________________________________________________________________________________________________
conv2d_226 (Conv2D) (None, 30, 30, 192) 147456 mixed3[0][0]
__________________________________________________________________________________________________
conv2d_229 (Conv2D) (None, 30, 30, 192) 172032 activation_220[0][0]
__________________________________________________________________________________________________
conv2d_234 (Conv2D) (None, 30, 30, 192) 172032 activation_225[0][0]
__________________________________________________________________________________________________
conv2d_235 (Conv2D) (None, 30, 30, 192) 147456 average_pooling2d_21[0][0]
__________________________________________________________________________________________________
batch_normalization_226 (BatchN (None, 30, 30, 192) 576 conv2d_226[0][0]
__________________________________________________________________________________________________
batch_normalization_229 (BatchN (None, 30, 30, 192) 576 conv2d_229[0][0]
__________________________________________________________________________________________________
batch_normalization_234 (BatchN (None, 30, 30, 192) 576 conv2d_234[0][0]
__________________________________________________________________________________________________
batch_normalization_235 (BatchN (None, 30, 30, 192) 576 conv2d_235[0][0]
__________________________________________________________________________________________________
activation_218 (Activation) (None, 30, 30, 192) 0 batch_normalization_226[0][0]
__________________________________________________________________________________________________
activation_221 (Activation) (None, 30, 30, 192) 0 batch_normalization_229[0][0]
__________________________________________________________________________________________________
activation_226 (Activation) (None, 30, 30, 192) 0 batch_normalization_234[0][0]
__________________________________________________________________________________________________
activation_227 (Activation) (None, 30, 30, 192) 0 batch_normalization_235[0][0]
__________________________________________________________________________________________________
mixed4 (Concatenate) (None, 30, 30, 768) 0 activation_218[0][0]
activation_221[0][0]
activation_226[0][0]
activation_227[0][0]
__________________________________________________________________________________________________
conv2d_240 (Conv2D) (None, 30, 30, 160) 122880 mixed4[0][0]
__________________________________________________________________________________________________
batch_normalization_240 (BatchN (None, 30, 30, 160) 480 conv2d_240[0][0]
__________________________________________________________________________________________________
activation_232 (Activation) (None, 30, 30, 160) 0 batch_normalization_240[0][0]
__________________________________________________________________________________________________
conv2d_241 (Conv2D) (None, 30, 30, 160) 179200 activation_232[0][0]
__________________________________________________________________________________________________
batch_normalization_241 (BatchN (None, 30, 30, 160) 480 conv2d_241[0][0]
__________________________________________________________________________________________________
activation_233 (Activation) (None, 30, 30, 160) 0 batch_normalization_241[0][0]
__________________________________________________________________________________________________
conv2d_237 (Conv2D) (None, 30, 30, 160) 122880 mixed4[0][0]
__________________________________________________________________________________________________
conv2d_242 (Conv2D) (None, 30, 30, 160) 179200 activation_233[0][0]
__________________________________________________________________________________________________
batch_normalization_237 (BatchN (None, 30, 30, 160) 480 conv2d_237[0][0]
__________________________________________________________________________________________________
batch_normalization_242 (BatchN (None, 30, 30, 160) 480 conv2d_242[0][0]
__________________________________________________________________________________________________
activation_229 (Activation) (None, 30, 30, 160) 0 batch_normalization_237[0][0]
__________________________________________________________________________________________________
activation_234 (Activation) (None, 30, 30, 160) 0 batch_normalization_242[0][0]
__________________________________________________________________________________________________
conv2d_238 (Conv2D) (None, 30, 30, 160) 179200 activation_229[0][0]
__________________________________________________________________________________________________
conv2d_243 (Conv2D) (None, 30, 30, 160) 179200 activation_234[0][0]
__________________________________________________________________________________________________
batch_normalization_238 (BatchN (None, 30, 30, 160) 480 conv2d_238[0][0]
__________________________________________________________________________________________________
batch_normalization_243 (BatchN (None, 30, 30, 160) 480 conv2d_243[0][0]
__________________________________________________________________________________________________
activation_230 (Activation) (None, 30, 30, 160) 0 batch_normalization_238[0][0]
__________________________________________________________________________________________________
activation_235 (Activation) (None, 30, 30, 160) 0 batch_normalization_243[0][0]
__________________________________________________________________________________________________
average_pooling2d_22 (AveragePo (None, 30, 30, 768) 0 mixed4[0][0]
__________________________________________________________________________________________________
conv2d_236 (Conv2D) (None, 30, 30, 192) 147456 mixed4[0][0]
__________________________________________________________________________________________________
conv2d_239 (Conv2D) (None, 30, 30, 192) 215040 activation_230[0][0]
__________________________________________________________________________________________________
conv2d_244 (Conv2D) (None, 30, 30, 192) 215040 activation_235[0][0]
__________________________________________________________________________________________________
conv2d_245 (Conv2D) (None, 30, 30, 192) 147456 average_pooling2d_22[0][0]
__________________________________________________________________________________________________
batch_normalization_236 (BatchN (None, 30, 30, 192) 576 conv2d_236[0][0]
__________________________________________________________________________________________________
batch_normalization_239 (BatchN (None, 30, 30, 192) 576 conv2d_239[0][0]
__________________________________________________________________________________________________
batch_normalization_244 (BatchN (None, 30, 30, 192) 576 conv2d_244[0][0]
__________________________________________________________________________________________________
batch_normalization_245 (BatchN (None, 30, 30, 192) 576 conv2d_245[0][0]
__________________________________________________________________________________________________
activation_228 (Activation) (None, 30, 30, 192) 0 batch_normalization_236[0][0]
__________________________________________________________________________________________________
activation_231 (Activation) (None, 30, 30, 192) 0 batch_normalization_239[0][0]
__________________________________________________________________________________________________
activation_236 (Activation) (None, 30, 30, 192) 0 batch_normalization_244[0][0]
__________________________________________________________________________________________________
activation_237 (Activation) (None, 30, 30, 192) 0 batch_normalization_245[0][0]
__________________________________________________________________________________________________
mixed5 (Concatenate) (None, 30, 30, 768) 0 activation_228[0][0]
activation_231[0][0]
activation_236[0][0]
activation_237[0][0]
__________________________________________________________________________________________________
conv2d_250 (Conv2D) (None, 30, 30, 160) 122880 mixed5[0][0]
__________________________________________________________________________________________________
batch_normalization_250 (BatchN (None, 30, 30, 160) 480 conv2d_250[0][0]
__________________________________________________________________________________________________
activation_242 (Activation) (None, 30, 30, 160) 0 batch_normalization_250[0][0]
__________________________________________________________________________________________________
conv2d_251 (Conv2D) (None, 30, 30, 160) 179200 activation_242[0][0]
__________________________________________________________________________________________________
batch_normalization_251 (BatchN (None, 30, 30, 160) 480 conv2d_251[0][0]
__________________________________________________________________________________________________
activation_243 (Activation) (None, 30, 30, 160) 0 batch_normalization_251[0][0]
__________________________________________________________________________________________________
conv2d_247 (Conv2D) (None, 30, 30, 160) 122880 mixed5[0][0]
__________________________________________________________________________________________________
conv2d_252 (Conv2D) (None, 30, 30, 160) 179200 activation_243[0][0]
__________________________________________________________________________________________________
batch_normalization_247 (BatchN (None, 30, 30, 160) 480 conv2d_247[0][0]
__________________________________________________________________________________________________
batch_normalization_252 (BatchN (None, 30, 30, 160) 480 conv2d_252[0][0]
__________________________________________________________________________________________________
activation_239 (Activation) (None, 30, 30, 160) 0 batch_normalization_247[0][0]
__________________________________________________________________________________________________
activation_244 (Activation) (None, 30, 30, 160) 0 batch_normalization_252[0][0]
__________________________________________________________________________________________________
conv2d_248 (Conv2D) (None, 30, 30, 160) 179200 activation_239[0][0]
__________________________________________________________________________________________________
conv2d_253 (Conv2D) (None, 30, 30, 160) 179200 activation_244[0][0]
__________________________________________________________________________________________________
batch_normalization_248 (BatchN (None, 30, 30, 160) 480 conv2d_248[0][0]
__________________________________________________________________________________________________
batch_normalization_253 (BatchN (None, 30, 30, 160) 480 conv2d_253[0][0]
__________________________________________________________________________________________________
activation_240 (Activation) (None, 30, 30, 160) 0 batch_normalization_248[0][0]
__________________________________________________________________________________________________
activation_245 (Activation) (None, 30, 30, 160) 0 batch_normalization_253[0][0]
__________________________________________________________________________________________________
average_pooling2d_23 (AveragePo (None, 30, 30, 768) 0 mixed5[0][0]
__________________________________________________________________________________________________
conv2d_246 (Conv2D) (None, 30, 30, 192) 147456 mixed5[0][0]
__________________________________________________________________________________________________
conv2d_249 (Conv2D) (None, 30, 30, 192) 215040 activation_240[0][0]
__________________________________________________________________________________________________
conv2d_254 (Conv2D) (None, 30, 30, 192) 215040 activation_245[0][0]
__________________________________________________________________________________________________
conv2d_255 (Conv2D) (None, 30, 30, 192) 147456 average_pooling2d_23[0][0]
__________________________________________________________________________________________________
batch_normalization_246 (BatchN (None, 30, 30, 192) 576 conv2d_246[0][0]
__________________________________________________________________________________________________
batch_normalization_249 (BatchN (None, 30, 30, 192) 576 conv2d_249[0][0]
__________________________________________________________________________________________________
batch_normalization_254 (BatchN (None, 30, 30, 192) 576 conv2d_254[0][0]
__________________________________________________________________________________________________
batch_normalization_255 (BatchN (None, 30, 30, 192) 576 conv2d_255[0][0]
__________________________________________________________________________________________________
activation_238 (Activation) (None, 30, 30, 192) 0 batch_normalization_246[0][0]
__________________________________________________________________________________________________
activation_241 (Activation) (None, 30, 30, 192) 0 batch_normalization_249[0][0]
__________________________________________________________________________________________________
activation_246 (Activation) (None, 30, 30, 192) 0 batch_normalization_254[0][0]
__________________________________________________________________________________________________
activation_247 (Activation) (None, 30, 30, 192) 0 batch_normalization_255[0][0]
__________________________________________________________________________________________________
mixed6 (Concatenate) (None, 30, 30, 768) 0 activation_238[0][0]
activation_241[0][0]
activation_246[0][0]
activation_247[0][0]
__________________________________________________________________________________________________
conv2d_260 (Conv2D) (None, 30, 30, 192) 147456 mixed6[0][0]
__________________________________________________________________________________________________
batch_normalization_260 (BatchN (None, 30, 30, 192) 576 conv2d_260[0][0]
__________________________________________________________________________________________________
activation_252 (Activation) (None, 30, 30, 192) 0 batch_normalization_260[0][0]
__________________________________________________________________________________________________
conv2d_261 (Conv2D) (None, 30, 30, 192) 258048 activation_252[0][0]
__________________________________________________________________________________________________
batch_normalization_261 (BatchN (None, 30, 30, 192) 576 conv2d_261[0][0]
__________________________________________________________________________________________________
activation_253 (Activation) (None, 30, 30, 192) 0 batch_normalization_261[0][0]
__________________________________________________________________________________________________
conv2d_257 (Conv2D) (None, 30, 30, 192) 147456 mixed6[0][0]
__________________________________________________________________________________________________
conv2d_262 (Conv2D) (None, 30, 30, 192) 258048 activation_253[0][0]
__________________________________________________________________________________________________
batch_normalization_257 (BatchN (None, 30, 30, 192) 576 conv2d_257[0][0]
__________________________________________________________________________________________________
batch_normalization_262 (BatchN (None, 30, 30, 192) 576 conv2d_262[0][0]
__________________________________________________________________________________________________
activation_249 (Activation) (None, 30, 30, 192) 0 batch_normalization_257[0][0]
__________________________________________________________________________________________________
activation_254 (Activation) (None, 30, 30, 192) 0 batch_normalization_262[0][0]
__________________________________________________________________________________________________
conv2d_258 (Conv2D) (None, 30, 30, 192) 258048 activation_249[0][0]
__________________________________________________________________________________________________
conv2d_263 (Conv2D) (None, 30, 30, 192) 258048 activation_254[0][0]
__________________________________________________________________________________________________
batch_normalization_258 (BatchN (None, 30, 30, 192) 576 conv2d_258[0][0]
__________________________________________________________________________________________________
batch_normalization_263 (BatchN (None, 30, 30, 192) 576 conv2d_263[0][0]
__________________________________________________________________________________________________
activation_250 (Activation) (None, 30, 30, 192) 0 batch_normalization_258[0][0]
__________________________________________________________________________________________________
activation_255 (Activation) (None, 30, 30, 192) 0 batch_normalization_263[0][0]
__________________________________________________________________________________________________
average_pooling2d_24 (AveragePo (None, 30, 30, 768) 0 mixed6[0][0]
__________________________________________________________________________________________________
conv2d_256 (Conv2D) (None, 30, 30, 192) 147456 mixed6[0][0]
__________________________________________________________________________________________________
conv2d_259 (Conv2D) (None, 30, 30, 192) 258048 activation_250[0][0]
__________________________________________________________________________________________________
conv2d_264 (Conv2D) (None, 30, 30, 192) 258048 activation_255[0][0]
__________________________________________________________________________________________________
conv2d_265 (Conv2D) (None, 30, 30, 192) 147456 average_pooling2d_24[0][0]
__________________________________________________________________________________________________
batch_normalization_256 (BatchN (None, 30, 30, 192) 576 conv2d_256[0][0]
__________________________________________________________________________________________________
batch_normalization_259 (BatchN (None, 30, 30, 192) 576 conv2d_259[0][0]
__________________________________________________________________________________________________
batch_normalization_264 (BatchN (None, 30, 30, 192) 576 conv2d_264[0][0]
__________________________________________________________________________________________________
batch_normalization_265 (BatchN (None, 30, 30, 192) 576 conv2d_265[0][0]
__________________________________________________________________________________________________
activation_248 (Activation) (None, 30, 30, 192) 0 batch_normalization_256[0][0]
__________________________________________________________________________________________________
activation_251 (Activation) (None, 30, 30, 192) 0 batch_normalization_259[0][0]
__________________________________________________________________________________________________
activation_256 (Activation) (None, 30, 30, 192) 0 batch_normalization_264[0][0]
__________________________________________________________________________________________________
activation_257 (Activation) (None, 30, 30, 192) 0 batch_normalization_265[0][0]
__________________________________________________________________________________________________
mixed7 (Concatenate) (None, 30, 30, 768) 0 activation_248[0][0]
activation_251[0][0]
activation_256[0][0]
activation_257[0][0]
__________________________________________________________________________________________________
conv2d_268 (Conv2D) (None, 30, 30, 192) 147456 mixed7[0][0]
__________________________________________________________________________________________________
batch_normalization_268 (BatchN (None, 30, 30, 192) 576 conv2d_268[0][0]
__________________________________________________________________________________________________
activation_260 (Activation) (None, 30, 30, 192) 0 batch_normalization_268[0][0]
__________________________________________________________________________________________________
conv2d_269 (Conv2D) (None, 30, 30, 192) 258048 activation_260[0][0]
__________________________________________________________________________________________________
batch_normalization_269 (BatchN (None, 30, 30, 192) 576 conv2d_269[0][0]
__________________________________________________________________________________________________
activation_261 (Activation) (None, 30, 30, 192) 0 batch_normalization_269[0][0]
__________________________________________________________________________________________________
conv2d_266 (Conv2D) (None, 30, 30, 192) 147456 mixed7[0][0]
__________________________________________________________________________________________________
conv2d_270 (Conv2D) (None, 30, 30, 192) 258048 activation_261[0][0]
__________________________________________________________________________________________________
batch_normalization_266 (BatchN (None, 30, 30, 192) 576 conv2d_266[0][0]
__________________________________________________________________________________________________
batch_normalization_270 (BatchN (None, 30, 30, 192) 576 conv2d_270[0][0]
__________________________________________________________________________________________________
activation_258 (Activation) (None, 30, 30, 192) 0 batch_normalization_266[0][0]
__________________________________________________________________________________________________
activation_262 (Activation) (None, 30, 30, 192) 0 batch_normalization_270[0][0]
__________________________________________________________________________________________________
conv2d_267 (Conv2D) (None, 14, 14, 320) 552960 activation_258[0][0]
__________________________________________________________________________________________________
conv2d_271 (Conv2D) (None, 14, 14, 192) 331776 activation_262[0][0]
__________________________________________________________________________________________________
batch_normalization_267 (BatchN (None, 14, 14, 320) 960 conv2d_267[0][0]
__________________________________________________________________________________________________
batch_normalization_271 (BatchN (None, 14, 14, 192) 576 conv2d_271[0][0]
__________________________________________________________________________________________________
activation_259 (Activation) (None, 14, 14, 320) 0 batch_normalization_267[0][0]
__________________________________________________________________________________________________
activation_263 (Activation) (None, 14, 14, 192) 0 batch_normalization_271[0][0]
__________________________________________________________________________________________________
max_pooling2d_11 (MaxPooling2D) (None, 14, 14, 768) 0 mixed7[0][0]
__________________________________________________________________________________________________
mixed8 (Concatenate) (None, 14, 14, 1280) 0 activation_259[0][0]
activation_263[0][0]
max_pooling2d_11[0][0]
__________________________________________________________________________________________________
conv2d_276 (Conv2D) (None, 14, 14, 448) 573440 mixed8[0][0]
__________________________________________________________________________________________________
batch_normalization_276 (BatchN (None, 14, 14, 448) 1344 conv2d_276[0][0]
__________________________________________________________________________________________________
activation_268 (Activation) (None, 14, 14, 448) 0 batch_normalization_276[0][0]
__________________________________________________________________________________________________
conv2d_273 (Conv2D) (None, 14, 14, 384) 491520 mixed8[0][0]
__________________________________________________________________________________________________
conv2d_277 (Conv2D) (None, 14, 14, 384) 1548288 activation_268[0][0]
__________________________________________________________________________________________________
batch_normalization_273 (BatchN (None, 14, 14, 384) 1152 conv2d_273[0][0]
__________________________________________________________________________________________________
batch_normalization_277 (BatchN (None, 14, 14, 384) 1152 conv2d_277[0][0]
__________________________________________________________________________________________________
activation_265 (Activation) (None, 14, 14, 384) 0 batch_normalization_273[0][0]
__________________________________________________________________________________________________
activation_269 (Activation) (None, 14, 14, 384) 0 batch_normalization_277[0][0]
__________________________________________________________________________________________________
conv2d_274 (Conv2D) (None, 14, 14, 384) 442368 activation_265[0][0]
__________________________________________________________________________________________________
conv2d_275 (Conv2D) (None, 14, 14, 384) 442368 activation_265[0][0]
__________________________________________________________________________________________________
conv2d_278 (Conv2D) (None, 14, 14, 384) 442368 activation_269[0][0]
__________________________________________________________________________________________________
conv2d_279 (Conv2D) (None, 14, 14, 384) 442368 activation_269[0][0]
__________________________________________________________________________________________________
average_pooling2d_25 (AveragePo (None, 14, 14, 1280) 0 mixed8[0][0]
__________________________________________________________________________________________________
conv2d_272 (Conv2D) (None, 14, 14, 320) 409600 mixed8[0][0]
__________________________________________________________________________________________________
batch_normalization_274 (BatchN (None, 14, 14, 384) 1152 conv2d_274[0][0]
__________________________________________________________________________________________________
batch_normalization_275 (BatchN (None, 14, 14, 384) 1152 conv2d_275[0][0]
__________________________________________________________________________________________________
batch_normalization_278 (BatchN (None, 14, 14, 384) 1152 conv2d_278[0][0]
__________________________________________________________________________________________________
batch_normalization_279 (BatchN (None, 14, 14, 384) 1152 conv2d_279[0][0]
__________________________________________________________________________________________________
conv2d_280 (Conv2D) (None, 14, 14, 192) 245760 average_pooling2d_25[0][0]
__________________________________________________________________________________________________
batch_normalization_272 (BatchN (None, 14, 14, 320) 960 conv2d_272[0][0]
__________________________________________________________________________________________________
activation_266 (Activation) (None, 14, 14, 384) 0 batch_normalization_274[0][0]
__________________________________________________________________________________________________
activation_267 (Activation) (None, 14, 14, 384) 0 batch_normalization_275[0][0]
__________________________________________________________________________________________________
activation_270 (Activation) (None, 14, 14, 384) 0 batch_normalization_278[0][0]
__________________________________________________________________________________________________
activation_271 (Activation) (None, 14, 14, 384) 0 batch_normalization_279[0][0]
__________________________________________________________________________________________________
batch_normalization_280 (BatchN (None, 14, 14, 192) 576 conv2d_280[0][0]
__________________________________________________________________________________________________
activation_264 (Activation) (None, 14, 14, 320) 0 batch_normalization_272[0][0]
__________________________________________________________________________________________________
mixed9_0 (Concatenate) (None, 14, 14, 768) 0 activation_266[0][0]
activation_267[0][0]
__________________________________________________________________________________________________
concatenate_4 (Concatenate) (None, 14, 14, 768) 0 activation_270[0][0]
activation_271[0][0]
__________________________________________________________________________________________________
activation_272 (Activation) (None, 14, 14, 192) 0 batch_normalization_280[0][0]
__________________________________________________________________________________________________
mixed9 (Concatenate) (None, 14, 14, 2048) 0 activation_264[0][0]
mixed9_0[0][0]
concatenate_4[0][0]
activation_272[0][0]
__________________________________________________________________________________________________
conv2d_285 (Conv2D) (None, 14, 14, 448) 917504 mixed9[0][0]
__________________________________________________________________________________________________
batch_normalization_285 (BatchN (None, 14, 14, 448) 1344 conv2d_285[0][0]
__________________________________________________________________________________________________
activation_277 (Activation) (None, 14, 14, 448) 0 batch_normalization_285[0][0]
__________________________________________________________________________________________________
conv2d_282 (Conv2D) (None, 14, 14, 384) 786432 mixed9[0][0]
__________________________________________________________________________________________________
conv2d_286 (Conv2D) (None, 14, 14, 384) 1548288 activation_277[0][0]
__________________________________________________________________________________________________
batch_normalization_282 (BatchN (None, 14, 14, 384) 1152 conv2d_282[0][0]
__________________________________________________________________________________________________
batch_normalization_286 (BatchN (None, 14, 14, 384) 1152 conv2d_286[0][0]
__________________________________________________________________________________________________
activation_274 (Activation) (None, 14, 14, 384) 0 batch_normalization_282[0][0]
__________________________________________________________________________________________________
activation_278 (Activation) (None, 14, 14, 384) 0 batch_normalization_286[0][0]
__________________________________________________________________________________________________
conv2d_283 (Conv2D) (None, 14, 14, 384) 442368 activation_274[0][0]
__________________________________________________________________________________________________
conv2d_284 (Conv2D) (None, 14, 14, 384) 442368 activation_274[0][0]
__________________________________________________________________________________________________
conv2d_287 (Conv2D) (None, 14, 14, 384) 442368 activation_278[0][0]
__________________________________________________________________________________________________
conv2d_288 (Conv2D) (None, 14, 14, 384) 442368 activation_278[0][0]
__________________________________________________________________________________________________
average_pooling2d_26 (AveragePo (None, 14, 14, 2048) 0 mixed9[0][0]
__________________________________________________________________________________________________
conv2d_281 (Conv2D) (None, 14, 14, 320) 655360 mixed9[0][0]
__________________________________________________________________________________________________
batch_normalization_283 (BatchN (None, 14, 14, 384) 1152 conv2d_283[0][0]
__________________________________________________________________________________________________
batch_normalization_284 (BatchN (None, 14, 14, 384) 1152 conv2d_284[0][0]
__________________________________________________________________________________________________
batch_normalization_287 (BatchN (None, 14, 14, 384) 1152 conv2d_287[0][0]
__________________________________________________________________________________________________
batch_normalization_288 (BatchN (None, 14, 14, 384) 1152 conv2d_288[0][0]
__________________________________________________________________________________________________
conv2d_289 (Conv2D) (None, 14, 14, 192) 393216 average_pooling2d_26[0][0]
__________________________________________________________________________________________________
batch_normalization_281 (BatchN (None, 14, 14, 320) 960 conv2d_281[0][0]
__________________________________________________________________________________________________
activation_275 (Activation) (None, 14, 14, 384) 0 batch_normalization_283[0][0]
__________________________________________________________________________________________________
activation_276 (Activation) (None, 14, 14, 384) 0 batch_normalization_284[0][0]
__________________________________________________________________________________________________
activation_279 (Activation) (None, 14, 14, 384) 0 batch_normalization_287[0][0]
__________________________________________________________________________________________________
activation_280 (Activation) (None, 14, 14, 384) 0 batch_normalization_288[0][0]
__________________________________________________________________________________________________
batch_normalization_289 (BatchN (None, 14, 14, 192) 576 conv2d_289[0][0]
__________________________________________________________________________________________________
activation_273 (Activation) (None, 14, 14, 320) 0 batch_normalization_281[0][0]
__________________________________________________________________________________________________
mixed9_1 (Concatenate) (None, 14, 14, 768) 0 activation_275[0][0]
activation_276[0][0]
__________________________________________________________________________________________________
concatenate_5 (Concatenate) (None, 14, 14, 768) 0 activation_279[0][0]
activation_280[0][0]
__________________________________________________________________________________________________
activation_281 (Activation) (None, 14, 14, 192) 0 batch_normalization_289[0][0]
__________________________________________________________________________________________________
mixed10 (Concatenate) (None, 14, 14, 2048) 0 activation_273[0][0]
mixed9_1[0][0]
concatenate_5[0][0]
activation_281[0][0]
__________________________________________________________________________________________________
global_average_pooling2d_7 (Glo (None, 2048) 0 mixed10[0][0]
__________________________________________________________________________________________________
dense_7 (Dense) (None, 2) 4098 global_average_pooling2d_7[0][0]
==================================================================================================
Total params: 21,806,882
Trainable params: 21,772,450
Non-trainable params: 34,432
__________________________________________________________________________________________________
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0004337.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89354306 | Other : 0.10645693
Real values 1...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0001769.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8932921 | Other : 0.10670786
Real values 2...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0003582.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8918999 | Other : 0.10810019
Real values 3...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0003539.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8926158 | Other : 0.107384145
Real values 4...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0003805.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89133435 | Other : 0.10866566
Real values 5...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0006651.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.9052122 | Other : 0.09478781
Real values 6...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0001852.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89178693 | Other : 0.10821307
Real values 7...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0003657.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89105725 | Other : 0.108942725
Real values 8...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0003462.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8918746 | Other : 0.108125396
Real values 9...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0001871.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8913877 | Other : 0.10861233
Real values 10...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0007241.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8909062 | Other : 0.109093815
Real values 11...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0006815.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8915697 | Other : 0.10843033
Real values 12...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0006914.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8908398 | Other : 0.1091602
Real values 13...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0007141.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8909301 | Other : 0.109069884
Real values 14...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0007344.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89191145 | Other : 0.10808858
Real values 15...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0007235.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8776588 | Other : 0.12234125
Real values 16...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0007796.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8908292 | Other : 0.10917084
Real values 17...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0008025.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89157385 | Other : 0.10842616
Real values 18...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0008524.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8947203 | Other : 0.10527964
Real values 19...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0007528.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88074905 | Other : 0.11925092
Real values 20...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0007156.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8985823 | Other : 0.10141771
Real values 21...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0007332.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.81313896 | Other : 0.18686111
Real values 22...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0006671.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89086986 | Other : 0.10913013
Real values 23...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0010459.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.99986815 | Other : 0.00013178373
Real values 24...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012099.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.7426369 | Other : 0.25736308
Real values 25...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012126.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89091736 | Other : 0.109082595
Real values 26...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012160.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89093155 | Other : 0.10906847
Real values 27...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0009995.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88160884 | Other : 0.11839109
Real values 28...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012127.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8926175 | Other : 0.10738243
Real values 29...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012151.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89121145 | Other : 0.10878855
Real values 30...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012204.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8550219 | Other : 0.14497812
Real values 31...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012143.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 1.0 | Other : 2.2291592e-11
Real values 32...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012191.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.9999336 | Other : 6.6404114e-05
Real values 33...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012109.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89091575 | Other : 0.10908425
Real values 34...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012159.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.847963 | Other : 0.15203704
Real values 35...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012201.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8921407 | Other : 0.10785934
Real values 36...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012316.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8911685 | Other : 0.10883153
Real values 37...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012306.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8910257 | Other : 0.1089743
Real values 38...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012206.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8916978 | Other : 0.108302206
Real values 39...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012313.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8910621 | Other : 0.10893794
Real values 40...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012380.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8387856 | Other : 0.16121444
Real values 41...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012256.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8914221 | Other : 0.10857797
Real values 42...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012222.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8917738 | Other : 0.10822615
Real values 43...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012335.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8598695 | Other : 0.14013052
Real values 44...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012383.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.85500187 | Other : 0.14499816
Real values 45...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012221.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89286995 | Other : 0.10712998
Real values 46...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012288.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89181167 | Other : 0.10818833
Real values 47...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012254.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89080507 | Other : 0.109194964
Real values 48...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012210.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8919794 | Other : 0.10802054
Real values 49...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012876.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.85945505 | Other : 0.14054494
Real values 50...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012720.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8915457 | Other : 0.10845428
Real values 51...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012434.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.843516 | Other : 0.15648405
Real values 52...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012538.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8930364 | Other : 0.10696358
Real values 53...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012684.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89121157 | Other : 0.10878845
Real values 54...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012746.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8924557 | Other : 0.107544295
Real values 55...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012417.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89072335 | Other : 0.109276615
Real values 56...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012400.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89088607 | Other : 0.10911398
Real values 57...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012547.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8950183 | Other : 0.104981676
Real values 58...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012513.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.82437456 | Other : 0.17562546
Real values 59...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012492.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 1.0 | Other : 1.6405953e-09
Real values 60...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012660.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8967837 | Other : 0.10321626
Real values 61...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013082.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.87488526 | Other : 0.12511477
Real values 62...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013132.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.999997 | Other : 2.9509588e-06
Real values 63...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013127.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8493812 | Other : 0.15061876
Real values 64...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013188.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8910649 | Other : 0.10893507
Real values 65...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012965.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89485747 | Other : 0.10514248
Real values 66...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012927.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8910488 | Other : 0.10895123
Real values 67...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012956.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89143527 | Other : 0.10856476
Real values 68...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013215.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89381355 | Other : 0.106186464
Real values 69...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013104.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8879941 | Other : 0.112005904
Real values 70...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013128.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89221555 | Other : 0.10778441
Real values 71...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012959.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.85970795 | Other : 0.14029202
Real values 72...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013010.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8923267 | Other : 0.107673354
Real values 73...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013491.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8909344 | Other : 0.109065644
Real values 74...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013549.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.9303817 | Other : 0.06961835
Real values 75...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013562.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8909088 | Other : 0.109091274
Real values 76...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013501.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8926849 | Other : 0.10731515
Real values 77...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013232.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8914925 | Other : 0.1085075
Real values 78...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013637.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8916603 | Other : 0.10833974
Real values 79...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013632.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8903984 | Other : 0.10960163
Real values 80...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013561.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8963026 | Other : 0.10369738
Real values 81...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013518.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89153624 | Other : 0.10846378
Real values 82...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013527.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8906853 | Other : 0.10931466
Real values 83...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013421.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89243186 | Other : 0.10756809
Real values 84...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013644.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89214534 | Other : 0.10785464
Real values 85...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013898.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89200306 | Other : 0.107996926
Real values 86...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013828.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.86141264 | Other : 0.13858731
Real values 87...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013663.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8274367 | Other : 0.17256333
Real values 88...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013863.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8933322 | Other : 0.1066678
Real values 89...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013702.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 1.0 | Other : 1.4760261e-10
Real values 90...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014037.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8968948 | Other : 0.103105135
Real values 91...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013736.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.95801455 | Other : 0.041985497
Real values 92...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013651.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8949544 | Other : 0.105045564
Real values 93...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014038.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 1.0 | Other : 5.512512e-10
Real values 94...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013945.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8925436 | Other : 0.10745639
Real values 95...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013793.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.7872247 | Other : 0.21277533
Real values 96...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014211.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 1.0 | Other : 8.0282054e-17
Real values 97...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014217.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89176387 | Other : 0.10823615
Real values 98...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014428.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89095473 | Other : 0.10904528
Real values 99...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014178.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89069015 | Other : 0.10930985
Real values 100...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014382.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89171165 | Other : 0.108288325
Real values 101...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014055.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8926861 | Other : 0.10731384
Real values 102...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014310.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.82253206 | Other : 0.17746799
Real values 103...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014302.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.95465446 | Other : 0.045345575
Real values 104...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014139.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89252245 | Other : 0.10747749
Real values 105...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014212.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89145213 | Other : 0.10854787
Real values 106...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014162.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8975952 | Other : 0.102404796
Real values 107...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014618.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.77911305 | Other : 0.22088695
Real values 108...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014610.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8892696 | Other : 0.11073042
Real values 109...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014601.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.80314755 | Other : 0.19685249
Real values 110...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014620.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.86628467 | Other : 0.13371529
Real values 111...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014616.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.86619294 | Other : 0.13380711
Real values 112...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014623.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8951477 | Other : 0.10485226
Real values 113...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014572.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89538777 | Other : 0.1046122
Real values 114...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014558.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8955168 | Other : 0.10448312
Real values 115...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014624.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.9002394 | Other : 0.099760614
Real values 116...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014633.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8336916 | Other : 0.16630843
Real values 117...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014597.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88128793 | Other : 0.11871211
Real values 118...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014608.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.90096176 | Other : 0.099038236
Real values 119...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014611.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8657261 | Other : 0.13427395
Real values 120...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014568.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.9018648 | Other : 0.09813521
Real values 121...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014829.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.87354314 | Other : 0.12645687
Real values 122...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014635.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8458908 | Other : 0.15410917
Real values 123...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014857.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89341885 | Other : 0.10658111
Real values 124...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014931.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.9009717 | Other : 0.09902824
Real values 125...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014809.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8497724 | Other : 0.1502276
Real values 126...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014637.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89997077 | Other : 0.10002926
Real values 127...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014712.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.93911666 | Other : 0.060883343
Real values 128...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014688.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8949769 | Other : 0.10502306
Real values 129...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014937.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89771557 | Other : 0.10228448
Real values 130...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014985.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8843424 | Other : 0.11565762
Real values 131...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014945.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.82252055 | Other : 0.17747946
Real values 132...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014989.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8927204 | Other : 0.10727957
Real values 133...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014946.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8930652 | Other : 0.106934816
Real values 134...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014979.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.9785423 | Other : 0.021457616
Real values 135...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015124.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8921381 | Other : 0.10786186
Real values 136...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015243.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8926276 | Other : 0.10737236
Real values 137...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015144.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8964629 | Other : 0.10353708
Real values 138...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015062.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.82466966 | Other : 0.17533033
Real values 139...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015313.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8915849 | Other : 0.10841512
Real values 140...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015043.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8924706 | Other : 0.10752943
Real values 141...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015256.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89579964 | Other : 0.10420035
Real values 142...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015211.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89204335 | Other : 0.10795668
Real values 143...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015443.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89205056 | Other : 0.10794947
Real values 144...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015372.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89303565 | Other : 0.10696433
Real values 145...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015627.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89378554 | Other : 0.106214456
Real values 146...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015445.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8929128 | Other : 0.107087195
Real values 147...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015401.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89677286 | Other : 0.103227116
Real values 148...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015496.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8919524 | Other : 0.108047634
Real values 149...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015483.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb26c772c90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8933887 | Other : 0.10661129
Real values 150...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
print("Accuracy = %2.2f%%" % (np.mean(correct_Inception)*100))
Accuracy = 80.00%
# Re-ordering the actual y (for ROC)
y_true_2_Inception = []
for i in range(len(y_true_Inception)):
y_true_2_Inception.append(y_true_Inception[i][0])
# Re-ordering the predicte y (for ROC)
y_score_2_Inception = []
for i in range(len(y_score_Inception)):
y_score_2_Inception.append(y_score_Inception[i][0])
plot_roc(y_true_2_Inception, y_score_2_Inception)
def positive_negative_measurement(y_true, y_score):
# Initialization
TRUE_POSITIVE = 0
FALSE_POSITIVE = 0
TRUE_NEGATIVE = 0
FALSE_NEGATIVE = 0
# Calculating the model
for i in range(len(y_score)):
if y_true[i] == y_score[i] == 1:
TRUE_POSITIVE += 1
if (y_score[i] == 1) and (y_true[i] != y_score[i]):
FALSE_POSITIVE += 1
if y_true[i] == y_score[i] == 0:
TRUE_NEGATIVE += 1
if (y_score[i] == 0) and (y_true[i] != y_score[i]):
FALSE_NEGATIVE += 1
return(TRUE_POSITIVE, FALSE_POSITIVE, TRUE_NEGATIVE, FALSE_NEGATIVE)
TRUE_POSITIVE_Inception, FALSE_POSITIVE_Inception, TRUE_NEGATIVE_Inception, FALSE_NEGATIVE_Inception = positive_negative_measurement(y_true_2_Inception, y_score_2_Inception)
postives_negatives_Inception = [[TRUE_POSITIVE_Inception, FALSE_POSITIVE_Inception],
[FALSE_NEGATIVE_Inception, TRUE_NEGATIVE_Inception]]
sns.set()
labels_Inception = np.array([['True positive: ' + str(TRUE_POSITIVE_Inception),
'False positive: ' + str(FALSE_POSITIVE_Inception)],
['False negative: ' + str(FALSE_NEGATIVE_Inception),
'True negative: ' + str(TRUE_POSITIVE_Inception)]])
plt.figure(figsize = (13, 10))
sns.heatmap(postives_negatives_Inception, annot = labels_Inception, linewidths = 0.1, fmt="", cmap = 'RdYlGn')
<matplotlib.axes._subplots.AxesSubplot at 0x7fb26a2af1d0>
# Sensitivity | Recall | hit rate | true positive rate (TPR)
sensitivity_Inception = TRUE_POSITIVE_Inception / (TRUE_POSITIVE_Inception + FALSE_NEGATIVE_Inception)
print("Sensitivity: ", sensitivity_Inception)
Sensitivity: 1.0
# Specificity | selectivity | true negative rate (TNR)
try:
specifity_Inception = TRUE_NEGATIVE_Inception / (TRUE_NEGATIVE_Inception + FALSE_NEGATIVE_Inception)
print("Specifity: ", specifity_Inception)
except:
print("No Specificity due to NO NEGATIVE results.")
No Specificity due to NO NEGATIVE results.
# Precision | positive predictive value (PPV)
predcision_Inception = TRUE_POSITIVE_Inception / (TRUE_POSITIVE_Inception + FALSE_POSITIVE_Inception)
print("Precision: ", predcision_Inception)
Precision: 0.8
# Negative predictive value (NPV)
try:
npv_Inception = TRUE_NEGATIVE_Inception / (TRUE_NEGATIVE_Inception + FALSE_NEGATIVE_Inception)
print("Negative predictive value: ", npv_Inception)
except:
print("0 Negative Predictions")
0 Negative Predictions
# Accuracy
accuracy_Inception = (TRUE_POSITIVE_Inception + TRUE_NEGATIVE_Inception) / (TRUE_POSITIVE_Inception + FALSE_POSITIVE_Inception + TRUE_NEGATIVE_Inception + FALSE_NEGATIVE_Inception)
print("Accuracy: ", accuracy_Inception)
Accuracy: 0.8
# Compute test set predictions
#model_architecture,path_model_weight
NUMBER_TEST_SAMPLES_Xception = 150
xception_architecture_function = xception_architecture()
xception_architecture_weight_path = "/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5"
y_true_Xception = valid_targets[:NUMBER_TEST_SAMPLES_Xception]
y_score_Xception = []
for index in range(NUMBER_TEST_SAMPLES_Xception): #compute one at a time due to memory constraints
probs_Xception = predict(img_path = validation_files[index], model_architecture = xception_architecture_function, path_model_weight = xception_architecture_weight_path)
print("Real values {}...".format(index+1) + "Melanoma : ", valid_targets[index][0], " | Other : ", valid_targets[index][1])
print("---------------------------------------------------------------------------")
y_score_Xception.append(probs_Xception)
correct_Xception = np.array(y_true_Xception) == np.array(y_score_Xception)
Model: "model_8"
__________________________________________________________________________________________________
Layer (type) Output Shape Param # Connected to
==================================================================================================
input_9 (InputLayer) [(None, 512, 512, 3) 0
__________________________________________________________________________________________________
block1_conv1 (Conv2D) (None, 255, 255, 32) 864 input_9[0][0]
__________________________________________________________________________________________________
block1_conv1_bn (BatchNormaliza (None, 255, 255, 32) 128 block1_conv1[0][0]
__________________________________________________________________________________________________
block1_conv1_act (Activation) (None, 255, 255, 32) 0 block1_conv1_bn[0][0]
__________________________________________________________________________________________________
block1_conv2 (Conv2D) (None, 253, 253, 64) 18432 block1_conv1_act[0][0]
__________________________________________________________________________________________________
block1_conv2_bn (BatchNormaliza (None, 253, 253, 64) 256 block1_conv2[0][0]
__________________________________________________________________________________________________
block1_conv2_act (Activation) (None, 253, 253, 64) 0 block1_conv2_bn[0][0]
__________________________________________________________________________________________________
block2_sepconv1 (SeparableConv2 (None, 253, 253, 128 8768 block1_conv2_act[0][0]
__________________________________________________________________________________________________
block2_sepconv1_bn (BatchNormal (None, 253, 253, 128 512 block2_sepconv1[0][0]
__________________________________________________________________________________________________
block2_sepconv2_act (Activation (None, 253, 253, 128 0 block2_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block2_sepconv2 (SeparableConv2 (None, 253, 253, 128 17536 block2_sepconv2_act[0][0]
__________________________________________________________________________________________________
block2_sepconv2_bn (BatchNormal (None, 253, 253, 128 512 block2_sepconv2[0][0]
__________________________________________________________________________________________________
conv2d_290 (Conv2D) (None, 127, 127, 128 8192 block1_conv2_act[0][0]
__________________________________________________________________________________________________
block2_pool (MaxPooling2D) (None, 127, 127, 128 0 block2_sepconv2_bn[0][0]
__________________________________________________________________________________________________
batch_normalization_290 (BatchN (None, 127, 127, 128 512 conv2d_290[0][0]
__________________________________________________________________________________________________
add_24 (Add) (None, 127, 127, 128 0 block2_pool[0][0]
batch_normalization_290[0][0]
__________________________________________________________________________________________________
block3_sepconv1_act (Activation (None, 127, 127, 128 0 add_24[0][0]
__________________________________________________________________________________________________
block3_sepconv1 (SeparableConv2 (None, 127, 127, 256 33920 block3_sepconv1_act[0][0]
__________________________________________________________________________________________________
block3_sepconv1_bn (BatchNormal (None, 127, 127, 256 1024 block3_sepconv1[0][0]
__________________________________________________________________________________________________
block3_sepconv2_act (Activation (None, 127, 127, 256 0 block3_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block3_sepconv2 (SeparableConv2 (None, 127, 127, 256 67840 block3_sepconv2_act[0][0]
__________________________________________________________________________________________________
block3_sepconv2_bn (BatchNormal (None, 127, 127, 256 1024 block3_sepconv2[0][0]
__________________________________________________________________________________________________
conv2d_291 (Conv2D) (None, 64, 64, 256) 32768 add_24[0][0]
__________________________________________________________________________________________________
block3_pool (MaxPooling2D) (None, 64, 64, 256) 0 block3_sepconv2_bn[0][0]
__________________________________________________________________________________________________
batch_normalization_291 (BatchN (None, 64, 64, 256) 1024 conv2d_291[0][0]
__________________________________________________________________________________________________
add_25 (Add) (None, 64, 64, 256) 0 block3_pool[0][0]
batch_normalization_291[0][0]
__________________________________________________________________________________________________
block4_sepconv1_act (Activation (None, 64, 64, 256) 0 add_25[0][0]
__________________________________________________________________________________________________
block4_sepconv1 (SeparableConv2 (None, 64, 64, 728) 188672 block4_sepconv1_act[0][0]
__________________________________________________________________________________________________
block4_sepconv1_bn (BatchNormal (None, 64, 64, 728) 2912 block4_sepconv1[0][0]
__________________________________________________________________________________________________
block4_sepconv2_act (Activation (None, 64, 64, 728) 0 block4_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block4_sepconv2 (SeparableConv2 (None, 64, 64, 728) 536536 block4_sepconv2_act[0][0]
__________________________________________________________________________________________________
block4_sepconv2_bn (BatchNormal (None, 64, 64, 728) 2912 block4_sepconv2[0][0]
__________________________________________________________________________________________________
conv2d_292 (Conv2D) (None, 32, 32, 728) 186368 add_25[0][0]
__________________________________________________________________________________________________
block4_pool (MaxPooling2D) (None, 32, 32, 728) 0 block4_sepconv2_bn[0][0]
__________________________________________________________________________________________________
batch_normalization_292 (BatchN (None, 32, 32, 728) 2912 conv2d_292[0][0]
__________________________________________________________________________________________________
add_26 (Add) (None, 32, 32, 728) 0 block4_pool[0][0]
batch_normalization_292[0][0]
__________________________________________________________________________________________________
block5_sepconv1_act (Activation (None, 32, 32, 728) 0 add_26[0][0]
__________________________________________________________________________________________________
block5_sepconv1 (SeparableConv2 (None, 32, 32, 728) 536536 block5_sepconv1_act[0][0]
__________________________________________________________________________________________________
block5_sepconv1_bn (BatchNormal (None, 32, 32, 728) 2912 block5_sepconv1[0][0]
__________________________________________________________________________________________________
block5_sepconv2_act (Activation (None, 32, 32, 728) 0 block5_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block5_sepconv2 (SeparableConv2 (None, 32, 32, 728) 536536 block5_sepconv2_act[0][0]
__________________________________________________________________________________________________
block5_sepconv2_bn (BatchNormal (None, 32, 32, 728) 2912 block5_sepconv2[0][0]
__________________________________________________________________________________________________
block5_sepconv3_act (Activation (None, 32, 32, 728) 0 block5_sepconv2_bn[0][0]
__________________________________________________________________________________________________
block5_sepconv3 (SeparableConv2 (None, 32, 32, 728) 536536 block5_sepconv3_act[0][0]
__________________________________________________________________________________________________
block5_sepconv3_bn (BatchNormal (None, 32, 32, 728) 2912 block5_sepconv3[0][0]
__________________________________________________________________________________________________
add_27 (Add) (None, 32, 32, 728) 0 block5_sepconv3_bn[0][0]
add_26[0][0]
__________________________________________________________________________________________________
block6_sepconv1_act (Activation (None, 32, 32, 728) 0 add_27[0][0]
__________________________________________________________________________________________________
block6_sepconv1 (SeparableConv2 (None, 32, 32, 728) 536536 block6_sepconv1_act[0][0]
__________________________________________________________________________________________________
block6_sepconv1_bn (BatchNormal (None, 32, 32, 728) 2912 block6_sepconv1[0][0]
__________________________________________________________________________________________________
block6_sepconv2_act (Activation (None, 32, 32, 728) 0 block6_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block6_sepconv2 (SeparableConv2 (None, 32, 32, 728) 536536 block6_sepconv2_act[0][0]
__________________________________________________________________________________________________
block6_sepconv2_bn (BatchNormal (None, 32, 32, 728) 2912 block6_sepconv2[0][0]
__________________________________________________________________________________________________
block6_sepconv3_act (Activation (None, 32, 32, 728) 0 block6_sepconv2_bn[0][0]
__________________________________________________________________________________________________
block6_sepconv3 (SeparableConv2 (None, 32, 32, 728) 536536 block6_sepconv3_act[0][0]
__________________________________________________________________________________________________
block6_sepconv3_bn (BatchNormal (None, 32, 32, 728) 2912 block6_sepconv3[0][0]
__________________________________________________________________________________________________
add_28 (Add) (None, 32, 32, 728) 0 block6_sepconv3_bn[0][0]
add_27[0][0]
__________________________________________________________________________________________________
block7_sepconv1_act (Activation (None, 32, 32, 728) 0 add_28[0][0]
__________________________________________________________________________________________________
block7_sepconv1 (SeparableConv2 (None, 32, 32, 728) 536536 block7_sepconv1_act[0][0]
__________________________________________________________________________________________________
block7_sepconv1_bn (BatchNormal (None, 32, 32, 728) 2912 block7_sepconv1[0][0]
__________________________________________________________________________________________________
block7_sepconv2_act (Activation (None, 32, 32, 728) 0 block7_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block7_sepconv2 (SeparableConv2 (None, 32, 32, 728) 536536 block7_sepconv2_act[0][0]
__________________________________________________________________________________________________
block7_sepconv2_bn (BatchNormal (None, 32, 32, 728) 2912 block7_sepconv2[0][0]
__________________________________________________________________________________________________
block7_sepconv3_act (Activation (None, 32, 32, 728) 0 block7_sepconv2_bn[0][0]
__________________________________________________________________________________________________
block7_sepconv3 (SeparableConv2 (None, 32, 32, 728) 536536 block7_sepconv3_act[0][0]
__________________________________________________________________________________________________
block7_sepconv3_bn (BatchNormal (None, 32, 32, 728) 2912 block7_sepconv3[0][0]
__________________________________________________________________________________________________
add_29 (Add) (None, 32, 32, 728) 0 block7_sepconv3_bn[0][0]
add_28[0][0]
__________________________________________________________________________________________________
block8_sepconv1_act (Activation (None, 32, 32, 728) 0 add_29[0][0]
__________________________________________________________________________________________________
block8_sepconv1 (SeparableConv2 (None, 32, 32, 728) 536536 block8_sepconv1_act[0][0]
__________________________________________________________________________________________________
block8_sepconv1_bn (BatchNormal (None, 32, 32, 728) 2912 block8_sepconv1[0][0]
__________________________________________________________________________________________________
block8_sepconv2_act (Activation (None, 32, 32, 728) 0 block8_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block8_sepconv2 (SeparableConv2 (None, 32, 32, 728) 536536 block8_sepconv2_act[0][0]
__________________________________________________________________________________________________
block8_sepconv2_bn (BatchNormal (None, 32, 32, 728) 2912 block8_sepconv2[0][0]
__________________________________________________________________________________________________
block8_sepconv3_act (Activation (None, 32, 32, 728) 0 block8_sepconv2_bn[0][0]
__________________________________________________________________________________________________
block8_sepconv3 (SeparableConv2 (None, 32, 32, 728) 536536 block8_sepconv3_act[0][0]
__________________________________________________________________________________________________
block8_sepconv3_bn (BatchNormal (None, 32, 32, 728) 2912 block8_sepconv3[0][0]
__________________________________________________________________________________________________
add_30 (Add) (None, 32, 32, 728) 0 block8_sepconv3_bn[0][0]
add_29[0][0]
__________________________________________________________________________________________________
block9_sepconv1_act (Activation (None, 32, 32, 728) 0 add_30[0][0]
__________________________________________________________________________________________________
block9_sepconv1 (SeparableConv2 (None, 32, 32, 728) 536536 block9_sepconv1_act[0][0]
__________________________________________________________________________________________________
block9_sepconv1_bn (BatchNormal (None, 32, 32, 728) 2912 block9_sepconv1[0][0]
__________________________________________________________________________________________________
block9_sepconv2_act (Activation (None, 32, 32, 728) 0 block9_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block9_sepconv2 (SeparableConv2 (None, 32, 32, 728) 536536 block9_sepconv2_act[0][0]
__________________________________________________________________________________________________
block9_sepconv2_bn (BatchNormal (None, 32, 32, 728) 2912 block9_sepconv2[0][0]
__________________________________________________________________________________________________
block9_sepconv3_act (Activation (None, 32, 32, 728) 0 block9_sepconv2_bn[0][0]
__________________________________________________________________________________________________
block9_sepconv3 (SeparableConv2 (None, 32, 32, 728) 536536 block9_sepconv3_act[0][0]
__________________________________________________________________________________________________
block9_sepconv3_bn (BatchNormal (None, 32, 32, 728) 2912 block9_sepconv3[0][0]
__________________________________________________________________________________________________
add_31 (Add) (None, 32, 32, 728) 0 block9_sepconv3_bn[0][0]
add_30[0][0]
__________________________________________________________________________________________________
block10_sepconv1_act (Activatio (None, 32, 32, 728) 0 add_31[0][0]
__________________________________________________________________________________________________
block10_sepconv1 (SeparableConv (None, 32, 32, 728) 536536 block10_sepconv1_act[0][0]
__________________________________________________________________________________________________
block10_sepconv1_bn (BatchNorma (None, 32, 32, 728) 2912 block10_sepconv1[0][0]
__________________________________________________________________________________________________
block10_sepconv2_act (Activatio (None, 32, 32, 728) 0 block10_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block10_sepconv2 (SeparableConv (None, 32, 32, 728) 536536 block10_sepconv2_act[0][0]
__________________________________________________________________________________________________
block10_sepconv2_bn (BatchNorma (None, 32, 32, 728) 2912 block10_sepconv2[0][0]
__________________________________________________________________________________________________
block10_sepconv3_act (Activatio (None, 32, 32, 728) 0 block10_sepconv2_bn[0][0]
__________________________________________________________________________________________________
block10_sepconv3 (SeparableConv (None, 32, 32, 728) 536536 block10_sepconv3_act[0][0]
__________________________________________________________________________________________________
block10_sepconv3_bn (BatchNorma (None, 32, 32, 728) 2912 block10_sepconv3[0][0]
__________________________________________________________________________________________________
add_32 (Add) (None, 32, 32, 728) 0 block10_sepconv3_bn[0][0]
add_31[0][0]
__________________________________________________________________________________________________
block11_sepconv1_act (Activatio (None, 32, 32, 728) 0 add_32[0][0]
__________________________________________________________________________________________________
block11_sepconv1 (SeparableConv (None, 32, 32, 728) 536536 block11_sepconv1_act[0][0]
__________________________________________________________________________________________________
block11_sepconv1_bn (BatchNorma (None, 32, 32, 728) 2912 block11_sepconv1[0][0]
__________________________________________________________________________________________________
block11_sepconv2_act (Activatio (None, 32, 32, 728) 0 block11_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block11_sepconv2 (SeparableConv (None, 32, 32, 728) 536536 block11_sepconv2_act[0][0]
__________________________________________________________________________________________________
block11_sepconv2_bn (BatchNorma (None, 32, 32, 728) 2912 block11_sepconv2[0][0]
__________________________________________________________________________________________________
block11_sepconv3_act (Activatio (None, 32, 32, 728) 0 block11_sepconv2_bn[0][0]
__________________________________________________________________________________________________
block11_sepconv3 (SeparableConv (None, 32, 32, 728) 536536 block11_sepconv3_act[0][0]
__________________________________________________________________________________________________
block11_sepconv3_bn (BatchNorma (None, 32, 32, 728) 2912 block11_sepconv3[0][0]
__________________________________________________________________________________________________
add_33 (Add) (None, 32, 32, 728) 0 block11_sepconv3_bn[0][0]
add_32[0][0]
__________________________________________________________________________________________________
block12_sepconv1_act (Activatio (None, 32, 32, 728) 0 add_33[0][0]
__________________________________________________________________________________________________
block12_sepconv1 (SeparableConv (None, 32, 32, 728) 536536 block12_sepconv1_act[0][0]
__________________________________________________________________________________________________
block12_sepconv1_bn (BatchNorma (None, 32, 32, 728) 2912 block12_sepconv1[0][0]
__________________________________________________________________________________________________
block12_sepconv2_act (Activatio (None, 32, 32, 728) 0 block12_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block12_sepconv2 (SeparableConv (None, 32, 32, 728) 536536 block12_sepconv2_act[0][0]
__________________________________________________________________________________________________
block12_sepconv2_bn (BatchNorma (None, 32, 32, 728) 2912 block12_sepconv2[0][0]
__________________________________________________________________________________________________
block12_sepconv3_act (Activatio (None, 32, 32, 728) 0 block12_sepconv2_bn[0][0]
__________________________________________________________________________________________________
block12_sepconv3 (SeparableConv (None, 32, 32, 728) 536536 block12_sepconv3_act[0][0]
__________________________________________________________________________________________________
block12_sepconv3_bn (BatchNorma (None, 32, 32, 728) 2912 block12_sepconv3[0][0]
__________________________________________________________________________________________________
add_34 (Add) (None, 32, 32, 728) 0 block12_sepconv3_bn[0][0]
add_33[0][0]
__________________________________________________________________________________________________
block13_sepconv1_act (Activatio (None, 32, 32, 728) 0 add_34[0][0]
__________________________________________________________________________________________________
block13_sepconv1 (SeparableConv (None, 32, 32, 728) 536536 block13_sepconv1_act[0][0]
__________________________________________________________________________________________________
block13_sepconv1_bn (BatchNorma (None, 32, 32, 728) 2912 block13_sepconv1[0][0]
__________________________________________________________________________________________________
block13_sepconv2_act (Activatio (None, 32, 32, 728) 0 block13_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block13_sepconv2 (SeparableConv (None, 32, 32, 1024) 752024 block13_sepconv2_act[0][0]
__________________________________________________________________________________________________
block13_sepconv2_bn (BatchNorma (None, 32, 32, 1024) 4096 block13_sepconv2[0][0]
__________________________________________________________________________________________________
conv2d_293 (Conv2D) (None, 16, 16, 1024) 745472 add_34[0][0]
__________________________________________________________________________________________________
block13_pool (MaxPooling2D) (None, 16, 16, 1024) 0 block13_sepconv2_bn[0][0]
__________________________________________________________________________________________________
batch_normalization_293 (BatchN (None, 16, 16, 1024) 4096 conv2d_293[0][0]
__________________________________________________________________________________________________
add_35 (Add) (None, 16, 16, 1024) 0 block13_pool[0][0]
batch_normalization_293[0][0]
__________________________________________________________________________________________________
block14_sepconv1 (SeparableConv (None, 16, 16, 1536) 1582080 add_35[0][0]
__________________________________________________________________________________________________
block14_sepconv1_bn (BatchNorma (None, 16, 16, 1536) 6144 block14_sepconv1[0][0]
__________________________________________________________________________________________________
block14_sepconv1_act (Activatio (None, 16, 16, 1536) 0 block14_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block14_sepconv2 (SeparableConv (None, 16, 16, 2048) 3159552 block14_sepconv1_act[0][0]
__________________________________________________________________________________________________
block14_sepconv2_bn (BatchNorma (None, 16, 16, 2048) 8192 block14_sepconv2[0][0]
__________________________________________________________________________________________________
block14_sepconv2_act (Activatio (None, 16, 16, 2048) 0 block14_sepconv2_bn[0][0]
__________________________________________________________________________________________________
global_average_pooling2d_8 (Glo (None, 2048) 0 block14_sepconv2_act[0][0]
__________________________________________________________________________________________________
dense_8 (Dense) (None, 2) 4098 global_average_pooling2d_8[0][0]
==================================================================================================
Total params: 20,865,578
Trainable params: 20,811,050
Non-trainable params: 54,528
__________________________________________________________________________________________________
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0004337.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022141 | Other : 0.3977859
Real values 1...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0001769.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022564 | Other : 0.39774355
Real values 2...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0003582.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60227776 | Other : 0.39772224
Real values 3...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0003539.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60225666 | Other : 0.39774337
Real values 4...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0003805.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60225546 | Other : 0.39774454
Real values 5...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0006651.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023868 | Other : 0.39761323
Real values 6...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0001852.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022431 | Other : 0.39775693
Real values 7...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0003657.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022039 | Other : 0.39779612
Real values 8...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0003462.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60230684 | Other : 0.39769313
Real values 9...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0001871.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023233 | Other : 0.39767668
Real values 10...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0007241.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60225713 | Other : 0.39774293
Real values 11...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0006815.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023378 | Other : 0.39766222
Real values 12...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0006914.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022177 | Other : 0.39778233
Real values 13...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0007141.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022578 | Other : 0.39774224
Real values 14...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0007344.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60224813 | Other : 0.3977519
Real values 15...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0007235.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60226387 | Other : 0.3977361
Real values 16...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0007796.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022226 | Other : 0.39777744
Real values 17...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0008025.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60228115 | Other : 0.39771888
Real values 18...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0008524.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023645 | Other : 0.39763552
Real values 19...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0007528.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60228735 | Other : 0.39771262
Real values 20...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0007156.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024153 | Other : 0.39758468
Real values 21...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0007332.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023483 | Other : 0.39765167
Real values 22...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0006671.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022287 | Other : 0.3977713
Real values 23...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0010459.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022559 | Other : 0.39774415
Real values 24...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012099.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60237217 | Other : 0.39762783
Real values 25...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012126.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023103 | Other : 0.39768967
Real values 26...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012160.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022362 | Other : 0.3977638
Real values 27...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0009995.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022582 | Other : 0.3977418
Real values 28...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012127.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023121 | Other : 0.39768788
Real values 29...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012151.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60230273 | Other : 0.39769727
Real values 30...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012204.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022773 | Other : 0.3977227
Real values 31...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012143.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60226166 | Other : 0.3977383
Real values 32...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012191.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023646 | Other : 0.39763534
Real values 33...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012109.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023036 | Other : 0.39769632
Real values 34...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012159.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60222644 | Other : 0.39777356
Real values 35...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012201.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60221577 | Other : 0.39778423
Real values 36...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012316.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60228705 | Other : 0.39771292
Real values 37...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012306.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60221845 | Other : 0.39778158
Real values 38...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012206.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60225713 | Other : 0.39774287
Real values 39...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012313.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022138 | Other : 0.39778626
Real values 40...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012380.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60236 | Other : 0.39763993
Real values 41...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012256.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022525 | Other : 0.39774752
Real values 42...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012222.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60234267 | Other : 0.3976573
Real values 43...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012335.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024242 | Other : 0.39757577
Real values 44...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012383.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023074 | Other : 0.39769268
Real values 45...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012221.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6021894 | Other : 0.39781055
Real values 46...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012288.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022885 | Other : 0.39771146
Real values 47...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012254.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022136 | Other : 0.3977864
Real values 48...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012210.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022291 | Other : 0.39777094
Real values 49...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012876.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023948 | Other : 0.39760515
Real values 50...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012720.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022666 | Other : 0.3977334
Real values 51...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012434.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023134 | Other : 0.39768663
Real values 52...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012538.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6021995 | Other : 0.39780053
Real values 53...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012684.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023328 | Other : 0.39766726
Real values 54...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012746.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60219544 | Other : 0.3978046
Real values 55...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012417.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60220927 | Other : 0.39779076
Real values 56...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012400.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022182 | Other : 0.39778185
Real values 57...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012547.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022297 | Other : 0.39777032
Real values 58...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012513.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023615 | Other : 0.39763853
Real values 59...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012492.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60230774 | Other : 0.39769226
Real values 60...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012660.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60237706 | Other : 0.3976229
Real values 61...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013082.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024366 | Other : 0.39756343
Real values 62...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013132.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022555 | Other : 0.39774448
Real values 63...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013127.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022762 | Other : 0.39772382
Real values 64...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013188.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60217285 | Other : 0.39782715
Real values 65...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012965.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60244197 | Other : 0.397558
Real values 66...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012927.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60229546 | Other : 0.39770454
Real values 67...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012956.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60223794 | Other : 0.39776212
Real values 68...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013215.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022527 | Other : 0.39774728
Real values 69...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013104.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023462 | Other : 0.39765376
Real values 70...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013128.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60221845 | Other : 0.39778158
Real values 71...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012959.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60230285 | Other : 0.39769718
Real values 72...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013010.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60218453 | Other : 0.39781547
Real values 73...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013491.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022964 | Other : 0.3977036
Real values 74...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013549.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022662 | Other : 0.39773384
Real values 75...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013562.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60228235 | Other : 0.3977176
Real values 76...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013501.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60229415 | Other : 0.39770582
Real values 77...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013232.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60225725 | Other : 0.39774275
Real values 78...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013637.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6021744 | Other : 0.3978256
Real values 79...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013632.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023023 | Other : 0.39769766
Real values 80...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013561.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60227144 | Other : 0.3977286
Real values 81...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013518.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6021816 | Other : 0.39781833
Real values 82...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013527.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60221213 | Other : 0.39778787
Real values 83...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013421.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60222924 | Other : 0.39777076
Real values 84...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013644.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022079 | Other : 0.39779207
Real values 85...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013898.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.602182 | Other : 0.397818
Real values 86...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013828.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60240126 | Other : 0.39759874
Real values 87...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013663.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024171 | Other : 0.3975829
Real values 88...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013863.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022248 | Other : 0.3977751
Real values 89...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013702.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022871 | Other : 0.3977129
Real values 90...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014037.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60230744 | Other : 0.39769253
Real values 91...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013736.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023806 | Other : 0.39761943
Real values 92...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013651.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60228294 | Other : 0.39771706
Real values 93...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014038.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60221255 | Other : 0.39778745
Real values 94...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013945.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60225296 | Other : 0.397747
Real values 95...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013793.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023038 | Other : 0.3976962
Real values 96...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014211.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022359 | Other : 0.39776412
Real values 97...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014217.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022488 | Other : 0.39775118
Real values 98...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014428.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022954 | Other : 0.39770454
Real values 99...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014178.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022061 | Other : 0.39779386
Real values 100...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014382.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022748 | Other : 0.39772528
Real values 101...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014055.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6021951 | Other : 0.39780492
Real values 102...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014310.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60231185 | Other : 0.39768812
Real values 103...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014302.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022314 | Other : 0.39776862
Real values 104...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014139.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6021876 | Other : 0.39781243
Real values 105...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014212.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022227 | Other : 0.39777735
Real values 106...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014162.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60239774 | Other : 0.39760226
Real values 107...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014618.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60235286 | Other : 0.3976471
Real values 108...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014610.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022989 | Other : 0.39770108
Real values 109...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014601.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60239637 | Other : 0.39760363
Real values 110...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014620.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60235995 | Other : 0.39764008
Real values 111...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014616.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60237217 | Other : 0.3976278
Real values 112...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014623.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60238904 | Other : 0.397611
Real values 113...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014572.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60240954 | Other : 0.39759052
Real values 114...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014558.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022098 | Other : 0.3977902
Real values 115...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014624.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023409 | Other : 0.39765912
Real values 116...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014633.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022799 | Other : 0.3977201
Real values 117...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014597.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60232186 | Other : 0.39767808
Real values 118...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014608.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024174 | Other : 0.39758265
Real values 119...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014611.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024472 | Other : 0.3975528
Real values 120...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014568.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60235095 | Other : 0.39764905
Real values 121...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014829.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024029 | Other : 0.39759701
Real values 122...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014635.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023231 | Other : 0.39767686
Real values 123...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014857.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023373 | Other : 0.39766276
Real values 124...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014931.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60264444 | Other : 0.39735556
Real values 125...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014809.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60241127 | Other : 0.39758876
Real values 126...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014637.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60238445 | Other : 0.39761552
Real values 127...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014712.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024223 | Other : 0.3975777
Real values 128...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014688.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60241646 | Other : 0.39758354
Real values 129...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014937.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024663 | Other : 0.39753368
Real values 130...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014985.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60241383 | Other : 0.3975862
Real values 131...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014945.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023683 | Other : 0.3976317
Real values 132...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014989.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024523 | Other : 0.39754778
Real values 133...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014946.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60242295 | Other : 0.39757708
Real values 134...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014979.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6025727 | Other : 0.39742738
Real values 135...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015124.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6026055 | Other : 0.39739448
Real values 136...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015243.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024035 | Other : 0.39759645
Real values 137...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015144.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60250777 | Other : 0.39749223
Real values 138...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015062.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023954 | Other : 0.39760458
Real values 139...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015313.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.602523 | Other : 0.39747697
Real values 140...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015043.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023913 | Other : 0.3976087
Real values 141...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015256.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60254866 | Other : 0.39745128
Real values 142...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015211.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6025106 | Other : 0.39748937
Real values 143...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015443.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60231453 | Other : 0.3976855
Real values 144...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015372.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60252905 | Other : 0.39747098
Real values 145...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015627.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6025266 | Other : 0.3974734
Real values 146...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015445.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024331 | Other : 0.3975669
Real values 147...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015401.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60240436 | Other : 0.39759564
Real values 148...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015496.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60271674 | Other : 0.3972833
Real values 149...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015483.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb37808c6d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023833 | Other : 0.39761668
Real values 150...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
print("Accuracy = %2.2f%%" % (np.mean(correct_Xception)*100))
Accuracy = 80.00%
# Re-ordering the actual y (for ROC)
y_true_2_Xception = []
for i in range(len(y_true_Xception)):
y_true_2_Xception.append(y_true_Xception[i][0])
# Re-ordering the predicte y (for ROC)
y_score_2_Xception = []
for i in range(len(y_score_Xception)):
y_score_2_Xception.append(y_score_Xception[i][0])
plot_roc(y_true_2_Xception, y_score_2_Xception)
def positive_negative_measurement(y_true, y_score):
# Initialization
TRUE_POSITIVE = 0
FALSE_POSITIVE = 0
TRUE_NEGATIVE = 0
FALSE_NEGATIVE = 0
# Calculating the model
for i in range(len(y_score)):
if y_true[i] == y_score[i] == 1:
TRUE_POSITIVE += 1
if (y_score[i] == 1) and (y_true[i] != y_score[i]):
FALSE_POSITIVE += 1
if y_true[i] == y_score[i] == 0:
TRUE_NEGATIVE += 1
if (y_score[i] == 0) and (y_true[i] != y_score[i]):
FALSE_NEGATIVE += 1
return(TRUE_POSITIVE, FALSE_POSITIVE, TRUE_NEGATIVE, FALSE_NEGATIVE)
TRUE_POSITIVE_Xception, FALSE_POSITIVE_Xception, TRUE_NEGATIVE_Xception, FALSE_NEGATIVE_Xception = positive_negative_measurement(y_true_2_Xception, y_score_2_Xception)
postives_negatives_Xception = [[TRUE_POSITIVE_Xception, FALSE_POSITIVE_Xception],
[FALSE_NEGATIVE_Xception, TRUE_NEGATIVE_Xception]]
sns.set()
labels_Xception = np.array([['True positive: ' + str(TRUE_POSITIVE_Xception),
'False positive: ' + str(FALSE_POSITIVE_Xception)],
['False negative: ' + str(FALSE_NEGATIVE_Xception),
'True negative: ' + str(TRUE_POSITIVE_Xception)]])
plt.figure(figsize = (13, 10))
sns.heatmap(postives_negatives_Xception, annot = labels_Xception, linewidths = 0.1, fmt="", cmap = 'RdYlGn')
<matplotlib.axes._subplots.AxesSubplot at 0x7fb379485950>
# Sensitivity | Recall | hit rate | true positive rate (TPR)
sensitivity_Xception = TRUE_POSITIVE_Xception / (TRUE_POSITIVE_Xception + FALSE_NEGATIVE_Xception)
print("Sensitivity: ", sensitivity_Xception)
Sensitivity: 1.0
# Specificity | selectivity | true negative rate (TNR)
try:
specifity_Xception = TRUE_NEGATIVE_Xception / (TRUE_NEGATIVE_Xception + FALSE_NEGATIVE_Xception)
print("Specifity: ", specifity_Xception)
except:
print("No Specificity due to NO NEGATIVE results.")
No Specificity due to NO NEGATIVE results.
# Precision | positive predictive value (PPV)
predcision_Xception = TRUE_POSITIVE_Xception / (TRUE_POSITIVE_Xception + FALSE_POSITIVE_Xception)
print("Precision: ", predcision_Xception)
Precision: 0.8
# Negative predictive value (NPV)
try:
npv_Xception = TRUE_NEGATIVE_Xception / (TRUE_NEGATIVE_Xception + FALSE_NEGATIVE_Xception)
print("Negative predictive value: ", npv_Xception)
except:
print("0 Negative Predictions")
0 Negative Predictions
# Accuracy
accuracy_Xception = (TRUE_POSITIVE_Xception + TRUE_NEGATIVE_Xception) / (TRUE_POSITIVE_Xception + FALSE_POSITIVE_Xception + TRUE_NEGATIVE_Xception + FALSE_NEGATIVE_Xception)
print("Accuracy: ", accuracy_Xception)
Accuracy: 0.8
Working Flowchart:
# Single input for multiple models
model_input = Input(shape=(512, 512, 3))
def mobilenet_architecture():
"""
Pre-build architecture of mobilenet for our dataset.
"""
# Imprting the model
from keras.applications.mobilenet import MobileNet
# Pre-build model
base_model = MobileNet(include_top = False, weights = None, input_tensor = model_input)
# Adding output layers
x = base_model.output
x = GlobalAveragePooling2D()(x)
output = Dense(units = 2, activation = 'softmax')(x)
# Creating the whole model
mobilenet_model = Model(base_model.input, output)
# Getting the summary of architecture
mobilenet_model.summary()
# Compiling the model
mobilenet_model.compile(optimizer = keras.optimizers.Adam(lr = 0.001),
loss = 'categorical_crossentropy',
metrics = ['accuracy'])
return mobilenet_model
# Model 1
mobilenet_model = mobilenet_architecture()
mobilenet_model.load_weights("/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5")
Model: "model_9" _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= input_10 (InputLayer) [(None, 512, 512, 3)] 0 _________________________________________________________________ conv1 (Conv2D) (None, 256, 256, 32) 864 _________________________________________________________________ conv1_bn (BatchNormalization (None, 256, 256, 32) 128 _________________________________________________________________ conv1_relu (ReLU) (None, 256, 256, 32) 0 _________________________________________________________________ conv_dw_1 (DepthwiseConv2D) (None, 256, 256, 32) 288 _________________________________________________________________ conv_dw_1_bn (BatchNormaliza (None, 256, 256, 32) 128 _________________________________________________________________ conv_dw_1_relu (ReLU) (None, 256, 256, 32) 0 _________________________________________________________________ conv_pw_1 (Conv2D) (None, 256, 256, 64) 2048 _________________________________________________________________ conv_pw_1_bn (BatchNormaliza (None, 256, 256, 64) 256 _________________________________________________________________ conv_pw_1_relu (ReLU) (None, 256, 256, 64) 0 _________________________________________________________________ conv_pad_2 (ZeroPadding2D) (None, 257, 257, 64) 0 _________________________________________________________________ conv_dw_2 (DepthwiseConv2D) (None, 128, 128, 64) 576 _________________________________________________________________ conv_dw_2_bn (BatchNormaliza (None, 128, 128, 64) 256 _________________________________________________________________ conv_dw_2_relu (ReLU) (None, 128, 128, 64) 0 _________________________________________________________________ conv_pw_2 (Conv2D) (None, 128, 128, 128) 8192 _________________________________________________________________ conv_pw_2_bn (BatchNormaliza (None, 128, 128, 128) 512 _________________________________________________________________ conv_pw_2_relu (ReLU) (None, 128, 128, 128) 0 _________________________________________________________________ conv_dw_3 (DepthwiseConv2D) (None, 128, 128, 128) 1152 _________________________________________________________________ conv_dw_3_bn (BatchNormaliza (None, 128, 128, 128) 512 _________________________________________________________________ conv_dw_3_relu (ReLU) (None, 128, 128, 128) 0 _________________________________________________________________ conv_pw_3 (Conv2D) (None, 128, 128, 128) 16384 _________________________________________________________________ conv_pw_3_bn (BatchNormaliza (None, 128, 128, 128) 512 _________________________________________________________________ conv_pw_3_relu (ReLU) (None, 128, 128, 128) 0 _________________________________________________________________ conv_pad_4 (ZeroPadding2D) (None, 129, 129, 128) 0 _________________________________________________________________ conv_dw_4 (DepthwiseConv2D) (None, 64, 64, 128) 1152 _________________________________________________________________ conv_dw_4_bn (BatchNormaliza (None, 64, 64, 128) 512 _________________________________________________________________ conv_dw_4_relu (ReLU) (None, 64, 64, 128) 0 _________________________________________________________________ conv_pw_4 (Conv2D) (None, 64, 64, 256) 32768 _________________________________________________________________ conv_pw_4_bn (BatchNormaliza (None, 64, 64, 256) 1024 _________________________________________________________________ conv_pw_4_relu (ReLU) (None, 64, 64, 256) 0 _________________________________________________________________ conv_dw_5 (DepthwiseConv2D) (None, 64, 64, 256) 2304 _________________________________________________________________ conv_dw_5_bn (BatchNormaliza (None, 64, 64, 256) 1024 _________________________________________________________________ conv_dw_5_relu (ReLU) (None, 64, 64, 256) 0 _________________________________________________________________ conv_pw_5 (Conv2D) (None, 64, 64, 256) 65536 _________________________________________________________________ conv_pw_5_bn (BatchNormaliza (None, 64, 64, 256) 1024 _________________________________________________________________ conv_pw_5_relu (ReLU) (None, 64, 64, 256) 0 _________________________________________________________________ conv_pad_6 (ZeroPadding2D) (None, 65, 65, 256) 0 _________________________________________________________________ conv_dw_6 (DepthwiseConv2D) (None, 32, 32, 256) 2304 _________________________________________________________________ conv_dw_6_bn (BatchNormaliza (None, 32, 32, 256) 1024 _________________________________________________________________ conv_dw_6_relu (ReLU) (None, 32, 32, 256) 0 _________________________________________________________________ conv_pw_6 (Conv2D) (None, 32, 32, 512) 131072 _________________________________________________________________ conv_pw_6_bn (BatchNormaliza (None, 32, 32, 512) 2048 _________________________________________________________________ conv_pw_6_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_dw_7 (DepthwiseConv2D) (None, 32, 32, 512) 4608 _________________________________________________________________ conv_dw_7_bn (BatchNormaliza (None, 32, 32, 512) 2048 _________________________________________________________________ conv_dw_7_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_pw_7 (Conv2D) (None, 32, 32, 512) 262144 _________________________________________________________________ conv_pw_7_bn (BatchNormaliza (None, 32, 32, 512) 2048 _________________________________________________________________ conv_pw_7_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_dw_8 (DepthwiseConv2D) (None, 32, 32, 512) 4608 _________________________________________________________________ conv_dw_8_bn (BatchNormaliza (None, 32, 32, 512) 2048 _________________________________________________________________ conv_dw_8_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_pw_8 (Conv2D) (None, 32, 32, 512) 262144 _________________________________________________________________ conv_pw_8_bn (BatchNormaliza (None, 32, 32, 512) 2048 _________________________________________________________________ conv_pw_8_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_dw_9 (DepthwiseConv2D) (None, 32, 32, 512) 4608 _________________________________________________________________ conv_dw_9_bn (BatchNormaliza (None, 32, 32, 512) 2048 _________________________________________________________________ conv_dw_9_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_pw_9 (Conv2D) (None, 32, 32, 512) 262144 _________________________________________________________________ conv_pw_9_bn (BatchNormaliza (None, 32, 32, 512) 2048 _________________________________________________________________ conv_pw_9_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_dw_10 (DepthwiseConv2D) (None, 32, 32, 512) 4608 _________________________________________________________________ conv_dw_10_bn (BatchNormaliz (None, 32, 32, 512) 2048 _________________________________________________________________ conv_dw_10_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_pw_10 (Conv2D) (None, 32, 32, 512) 262144 _________________________________________________________________ conv_pw_10_bn (BatchNormaliz (None, 32, 32, 512) 2048 _________________________________________________________________ conv_pw_10_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_dw_11 (DepthwiseConv2D) (None, 32, 32, 512) 4608 _________________________________________________________________ conv_dw_11_bn (BatchNormaliz (None, 32, 32, 512) 2048 _________________________________________________________________ conv_dw_11_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_pw_11 (Conv2D) (None, 32, 32, 512) 262144 _________________________________________________________________ conv_pw_11_bn (BatchNormaliz (None, 32, 32, 512) 2048 _________________________________________________________________ conv_pw_11_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_pad_12 (ZeroPadding2D) (None, 33, 33, 512) 0 _________________________________________________________________ conv_dw_12 (DepthwiseConv2D) (None, 16, 16, 512) 4608 _________________________________________________________________ conv_dw_12_bn (BatchNormaliz (None, 16, 16, 512) 2048 _________________________________________________________________ conv_dw_12_relu (ReLU) (None, 16, 16, 512) 0 _________________________________________________________________ conv_pw_12 (Conv2D) (None, 16, 16, 1024) 524288 _________________________________________________________________ conv_pw_12_bn (BatchNormaliz (None, 16, 16, 1024) 4096 _________________________________________________________________ conv_pw_12_relu (ReLU) (None, 16, 16, 1024) 0 _________________________________________________________________ conv_dw_13 (DepthwiseConv2D) (None, 16, 16, 1024) 9216 _________________________________________________________________ conv_dw_13_bn (BatchNormaliz (None, 16, 16, 1024) 4096 _________________________________________________________________ conv_dw_13_relu (ReLU) (None, 16, 16, 1024) 0 _________________________________________________________________ conv_pw_13 (Conv2D) (None, 16, 16, 1024) 1048576 _________________________________________________________________ conv_pw_13_bn (BatchNormaliz (None, 16, 16, 1024) 4096 _________________________________________________________________ conv_pw_13_relu (ReLU) (None, 16, 16, 1024) 0 _________________________________________________________________ global_average_pooling2d_9 ( (None, 1024) 0 _________________________________________________________________ dense_9 (Dense) (None, 2) 2050 ================================================================= Total params: 3,230,914 Trainable params: 3,209,026 Non-trainable params: 21,888 _________________________________________________________________
def inception_architecture():
"""
Pre-build architecture of inception for our dataset.
"""
# Imprting the model
from keras.applications.inception_v3 import InceptionV3
# Pre-build model
base_model = InceptionV3(include_top = False, weights = None, input_tensor = model_input)
# Adding output layers
x = base_model.output
x = GlobalAveragePooling2D()(x)
output = Dense(units = 2, activation = 'softmax')(x)
# Creating the whole model
inception_model = Model(base_model.input, output)
# Summary of the model
inception_model.summary()
# Compiling the model
inception_model.compile(optimizer = keras.optimizers.Adam(lr = 0.001),
loss = 'categorical_crossentropy',
metrics = ['accuracy'])
return inception_model
# Model 2
inception_model = inception_architecture()
inception_model.load_weights("/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5")
Model: "model_10"
__________________________________________________________________________________________________
Layer (type) Output Shape Param # Connected to
==================================================================================================
input_10 (InputLayer) [(None, 512, 512, 3) 0
__________________________________________________________________________________________________
conv2d_294 (Conv2D) (None, 255, 255, 32) 864 input_10[0][0]
__________________________________________________________________________________________________
batch_normalization_294 (BatchN (None, 255, 255, 32) 96 conv2d_294[0][0]
__________________________________________________________________________________________________
activation_282 (Activation) (None, 255, 255, 32) 0 batch_normalization_294[0][0]
__________________________________________________________________________________________________
conv2d_295 (Conv2D) (None, 253, 253, 32) 9216 activation_282[0][0]
__________________________________________________________________________________________________
batch_normalization_295 (BatchN (None, 253, 253, 32) 96 conv2d_295[0][0]
__________________________________________________________________________________________________
activation_283 (Activation) (None, 253, 253, 32) 0 batch_normalization_295[0][0]
__________________________________________________________________________________________________
conv2d_296 (Conv2D) (None, 253, 253, 64) 18432 activation_283[0][0]
__________________________________________________________________________________________________
batch_normalization_296 (BatchN (None, 253, 253, 64) 192 conv2d_296[0][0]
__________________________________________________________________________________________________
activation_284 (Activation) (None, 253, 253, 64) 0 batch_normalization_296[0][0]
__________________________________________________________________________________________________
max_pooling2d_12 (MaxPooling2D) (None, 126, 126, 64) 0 activation_284[0][0]
__________________________________________________________________________________________________
conv2d_297 (Conv2D) (None, 126, 126, 80) 5120 max_pooling2d_12[0][0]
__________________________________________________________________________________________________
batch_normalization_297 (BatchN (None, 126, 126, 80) 240 conv2d_297[0][0]
__________________________________________________________________________________________________
activation_285 (Activation) (None, 126, 126, 80) 0 batch_normalization_297[0][0]
__________________________________________________________________________________________________
conv2d_298 (Conv2D) (None, 124, 124, 192 138240 activation_285[0][0]
__________________________________________________________________________________________________
batch_normalization_298 (BatchN (None, 124, 124, 192 576 conv2d_298[0][0]
__________________________________________________________________________________________________
activation_286 (Activation) (None, 124, 124, 192 0 batch_normalization_298[0][0]
__________________________________________________________________________________________________
max_pooling2d_13 (MaxPooling2D) (None, 61, 61, 192) 0 activation_286[0][0]
__________________________________________________________________________________________________
conv2d_302 (Conv2D) (None, 61, 61, 64) 12288 max_pooling2d_13[0][0]
__________________________________________________________________________________________________
batch_normalization_302 (BatchN (None, 61, 61, 64) 192 conv2d_302[0][0]
__________________________________________________________________________________________________
activation_290 (Activation) (None, 61, 61, 64) 0 batch_normalization_302[0][0]
__________________________________________________________________________________________________
conv2d_300 (Conv2D) (None, 61, 61, 48) 9216 max_pooling2d_13[0][0]
__________________________________________________________________________________________________
conv2d_303 (Conv2D) (None, 61, 61, 96) 55296 activation_290[0][0]
__________________________________________________________________________________________________
batch_normalization_300 (BatchN (None, 61, 61, 48) 144 conv2d_300[0][0]
__________________________________________________________________________________________________
batch_normalization_303 (BatchN (None, 61, 61, 96) 288 conv2d_303[0][0]
__________________________________________________________________________________________________
activation_288 (Activation) (None, 61, 61, 48) 0 batch_normalization_300[0][0]
__________________________________________________________________________________________________
activation_291 (Activation) (None, 61, 61, 96) 0 batch_normalization_303[0][0]
__________________________________________________________________________________________________
average_pooling2d_27 (AveragePo (None, 61, 61, 192) 0 max_pooling2d_13[0][0]
__________________________________________________________________________________________________
conv2d_299 (Conv2D) (None, 61, 61, 64) 12288 max_pooling2d_13[0][0]
__________________________________________________________________________________________________
conv2d_301 (Conv2D) (None, 61, 61, 64) 76800 activation_288[0][0]
__________________________________________________________________________________________________
conv2d_304 (Conv2D) (None, 61, 61, 96) 82944 activation_291[0][0]
__________________________________________________________________________________________________
conv2d_305 (Conv2D) (None, 61, 61, 32) 6144 average_pooling2d_27[0][0]
__________________________________________________________________________________________________
batch_normalization_299 (BatchN (None, 61, 61, 64) 192 conv2d_299[0][0]
__________________________________________________________________________________________________
batch_normalization_301 (BatchN (None, 61, 61, 64) 192 conv2d_301[0][0]
__________________________________________________________________________________________________
batch_normalization_304 (BatchN (None, 61, 61, 96) 288 conv2d_304[0][0]
__________________________________________________________________________________________________
batch_normalization_305 (BatchN (None, 61, 61, 32) 96 conv2d_305[0][0]
__________________________________________________________________________________________________
activation_287 (Activation) (None, 61, 61, 64) 0 batch_normalization_299[0][0]
__________________________________________________________________________________________________
activation_289 (Activation) (None, 61, 61, 64) 0 batch_normalization_301[0][0]
__________________________________________________________________________________________________
activation_292 (Activation) (None, 61, 61, 96) 0 batch_normalization_304[0][0]
__________________________________________________________________________________________________
activation_293 (Activation) (None, 61, 61, 32) 0 batch_normalization_305[0][0]
__________________________________________________________________________________________________
mixed0 (Concatenate) (None, 61, 61, 256) 0 activation_287[0][0]
activation_289[0][0]
activation_292[0][0]
activation_293[0][0]
__________________________________________________________________________________________________
conv2d_309 (Conv2D) (None, 61, 61, 64) 16384 mixed0[0][0]
__________________________________________________________________________________________________
batch_normalization_309 (BatchN (None, 61, 61, 64) 192 conv2d_309[0][0]
__________________________________________________________________________________________________
activation_297 (Activation) (None, 61, 61, 64) 0 batch_normalization_309[0][0]
__________________________________________________________________________________________________
conv2d_307 (Conv2D) (None, 61, 61, 48) 12288 mixed0[0][0]
__________________________________________________________________________________________________
conv2d_310 (Conv2D) (None, 61, 61, 96) 55296 activation_297[0][0]
__________________________________________________________________________________________________
batch_normalization_307 (BatchN (None, 61, 61, 48) 144 conv2d_307[0][0]
__________________________________________________________________________________________________
batch_normalization_310 (BatchN (None, 61, 61, 96) 288 conv2d_310[0][0]
__________________________________________________________________________________________________
activation_295 (Activation) (None, 61, 61, 48) 0 batch_normalization_307[0][0]
__________________________________________________________________________________________________
activation_298 (Activation) (None, 61, 61, 96) 0 batch_normalization_310[0][0]
__________________________________________________________________________________________________
average_pooling2d_28 (AveragePo (None, 61, 61, 256) 0 mixed0[0][0]
__________________________________________________________________________________________________
conv2d_306 (Conv2D) (None, 61, 61, 64) 16384 mixed0[0][0]
__________________________________________________________________________________________________
conv2d_308 (Conv2D) (None, 61, 61, 64) 76800 activation_295[0][0]
__________________________________________________________________________________________________
conv2d_311 (Conv2D) (None, 61, 61, 96) 82944 activation_298[0][0]
__________________________________________________________________________________________________
conv2d_312 (Conv2D) (None, 61, 61, 64) 16384 average_pooling2d_28[0][0]
__________________________________________________________________________________________________
batch_normalization_306 (BatchN (None, 61, 61, 64) 192 conv2d_306[0][0]
__________________________________________________________________________________________________
batch_normalization_308 (BatchN (None, 61, 61, 64) 192 conv2d_308[0][0]
__________________________________________________________________________________________________
batch_normalization_311 (BatchN (None, 61, 61, 96) 288 conv2d_311[0][0]
__________________________________________________________________________________________________
batch_normalization_312 (BatchN (None, 61, 61, 64) 192 conv2d_312[0][0]
__________________________________________________________________________________________________
activation_294 (Activation) (None, 61, 61, 64) 0 batch_normalization_306[0][0]
__________________________________________________________________________________________________
activation_296 (Activation) (None, 61, 61, 64) 0 batch_normalization_308[0][0]
__________________________________________________________________________________________________
activation_299 (Activation) (None, 61, 61, 96) 0 batch_normalization_311[0][0]
__________________________________________________________________________________________________
activation_300 (Activation) (None, 61, 61, 64) 0 batch_normalization_312[0][0]
__________________________________________________________________________________________________
mixed1 (Concatenate) (None, 61, 61, 288) 0 activation_294[0][0]
activation_296[0][0]
activation_299[0][0]
activation_300[0][0]
__________________________________________________________________________________________________
conv2d_316 (Conv2D) (None, 61, 61, 64) 18432 mixed1[0][0]
__________________________________________________________________________________________________
batch_normalization_316 (BatchN (None, 61, 61, 64) 192 conv2d_316[0][0]
__________________________________________________________________________________________________
activation_304 (Activation) (None, 61, 61, 64) 0 batch_normalization_316[0][0]
__________________________________________________________________________________________________
conv2d_314 (Conv2D) (None, 61, 61, 48) 13824 mixed1[0][0]
__________________________________________________________________________________________________
conv2d_317 (Conv2D) (None, 61, 61, 96) 55296 activation_304[0][0]
__________________________________________________________________________________________________
batch_normalization_314 (BatchN (None, 61, 61, 48) 144 conv2d_314[0][0]
__________________________________________________________________________________________________
batch_normalization_317 (BatchN (None, 61, 61, 96) 288 conv2d_317[0][0]
__________________________________________________________________________________________________
activation_302 (Activation) (None, 61, 61, 48) 0 batch_normalization_314[0][0]
__________________________________________________________________________________________________
activation_305 (Activation) (None, 61, 61, 96) 0 batch_normalization_317[0][0]
__________________________________________________________________________________________________
average_pooling2d_29 (AveragePo (None, 61, 61, 288) 0 mixed1[0][0]
__________________________________________________________________________________________________
conv2d_313 (Conv2D) (None, 61, 61, 64) 18432 mixed1[0][0]
__________________________________________________________________________________________________
conv2d_315 (Conv2D) (None, 61, 61, 64) 76800 activation_302[0][0]
__________________________________________________________________________________________________
conv2d_318 (Conv2D) (None, 61, 61, 96) 82944 activation_305[0][0]
__________________________________________________________________________________________________
conv2d_319 (Conv2D) (None, 61, 61, 64) 18432 average_pooling2d_29[0][0]
__________________________________________________________________________________________________
batch_normalization_313 (BatchN (None, 61, 61, 64) 192 conv2d_313[0][0]
__________________________________________________________________________________________________
batch_normalization_315 (BatchN (None, 61, 61, 64) 192 conv2d_315[0][0]
__________________________________________________________________________________________________
batch_normalization_318 (BatchN (None, 61, 61, 96) 288 conv2d_318[0][0]
__________________________________________________________________________________________________
batch_normalization_319 (BatchN (None, 61, 61, 64) 192 conv2d_319[0][0]
__________________________________________________________________________________________________
activation_301 (Activation) (None, 61, 61, 64) 0 batch_normalization_313[0][0]
__________________________________________________________________________________________________
activation_303 (Activation) (None, 61, 61, 64) 0 batch_normalization_315[0][0]
__________________________________________________________________________________________________
activation_306 (Activation) (None, 61, 61, 96) 0 batch_normalization_318[0][0]
__________________________________________________________________________________________________
activation_307 (Activation) (None, 61, 61, 64) 0 batch_normalization_319[0][0]
__________________________________________________________________________________________________
mixed2 (Concatenate) (None, 61, 61, 288) 0 activation_301[0][0]
activation_303[0][0]
activation_306[0][0]
activation_307[0][0]
__________________________________________________________________________________________________
conv2d_321 (Conv2D) (None, 61, 61, 64) 18432 mixed2[0][0]
__________________________________________________________________________________________________
batch_normalization_321 (BatchN (None, 61, 61, 64) 192 conv2d_321[0][0]
__________________________________________________________________________________________________
activation_309 (Activation) (None, 61, 61, 64) 0 batch_normalization_321[0][0]
__________________________________________________________________________________________________
conv2d_322 (Conv2D) (None, 61, 61, 96) 55296 activation_309[0][0]
__________________________________________________________________________________________________
batch_normalization_322 (BatchN (None, 61, 61, 96) 288 conv2d_322[0][0]
__________________________________________________________________________________________________
activation_310 (Activation) (None, 61, 61, 96) 0 batch_normalization_322[0][0]
__________________________________________________________________________________________________
conv2d_320 (Conv2D) (None, 30, 30, 384) 995328 mixed2[0][0]
__________________________________________________________________________________________________
conv2d_323 (Conv2D) (None, 30, 30, 96) 82944 activation_310[0][0]
__________________________________________________________________________________________________
batch_normalization_320 (BatchN (None, 30, 30, 384) 1152 conv2d_320[0][0]
__________________________________________________________________________________________________
batch_normalization_323 (BatchN (None, 30, 30, 96) 288 conv2d_323[0][0]
__________________________________________________________________________________________________
activation_308 (Activation) (None, 30, 30, 384) 0 batch_normalization_320[0][0]
__________________________________________________________________________________________________
activation_311 (Activation) (None, 30, 30, 96) 0 batch_normalization_323[0][0]
__________________________________________________________________________________________________
max_pooling2d_14 (MaxPooling2D) (None, 30, 30, 288) 0 mixed2[0][0]
__________________________________________________________________________________________________
mixed3 (Concatenate) (None, 30, 30, 768) 0 activation_308[0][0]
activation_311[0][0]
max_pooling2d_14[0][0]
__________________________________________________________________________________________________
conv2d_328 (Conv2D) (None, 30, 30, 128) 98304 mixed3[0][0]
__________________________________________________________________________________________________
batch_normalization_328 (BatchN (None, 30, 30, 128) 384 conv2d_328[0][0]
__________________________________________________________________________________________________
activation_316 (Activation) (None, 30, 30, 128) 0 batch_normalization_328[0][0]
__________________________________________________________________________________________________
conv2d_329 (Conv2D) (None, 30, 30, 128) 114688 activation_316[0][0]
__________________________________________________________________________________________________
batch_normalization_329 (BatchN (None, 30, 30, 128) 384 conv2d_329[0][0]
__________________________________________________________________________________________________
activation_317 (Activation) (None, 30, 30, 128) 0 batch_normalization_329[0][0]
__________________________________________________________________________________________________
conv2d_325 (Conv2D) (None, 30, 30, 128) 98304 mixed3[0][0]
__________________________________________________________________________________________________
conv2d_330 (Conv2D) (None, 30, 30, 128) 114688 activation_317[0][0]
__________________________________________________________________________________________________
batch_normalization_325 (BatchN (None, 30, 30, 128) 384 conv2d_325[0][0]
__________________________________________________________________________________________________
batch_normalization_330 (BatchN (None, 30, 30, 128) 384 conv2d_330[0][0]
__________________________________________________________________________________________________
activation_313 (Activation) (None, 30, 30, 128) 0 batch_normalization_325[0][0]
__________________________________________________________________________________________________
activation_318 (Activation) (None, 30, 30, 128) 0 batch_normalization_330[0][0]
__________________________________________________________________________________________________
conv2d_326 (Conv2D) (None, 30, 30, 128) 114688 activation_313[0][0]
__________________________________________________________________________________________________
conv2d_331 (Conv2D) (None, 30, 30, 128) 114688 activation_318[0][0]
__________________________________________________________________________________________________
batch_normalization_326 (BatchN (None, 30, 30, 128) 384 conv2d_326[0][0]
__________________________________________________________________________________________________
batch_normalization_331 (BatchN (None, 30, 30, 128) 384 conv2d_331[0][0]
__________________________________________________________________________________________________
activation_314 (Activation) (None, 30, 30, 128) 0 batch_normalization_326[0][0]
__________________________________________________________________________________________________
activation_319 (Activation) (None, 30, 30, 128) 0 batch_normalization_331[0][0]
__________________________________________________________________________________________________
average_pooling2d_30 (AveragePo (None, 30, 30, 768) 0 mixed3[0][0]
__________________________________________________________________________________________________
conv2d_324 (Conv2D) (None, 30, 30, 192) 147456 mixed3[0][0]
__________________________________________________________________________________________________
conv2d_327 (Conv2D) (None, 30, 30, 192) 172032 activation_314[0][0]
__________________________________________________________________________________________________
conv2d_332 (Conv2D) (None, 30, 30, 192) 172032 activation_319[0][0]
__________________________________________________________________________________________________
conv2d_333 (Conv2D) (None, 30, 30, 192) 147456 average_pooling2d_30[0][0]
__________________________________________________________________________________________________
batch_normalization_324 (BatchN (None, 30, 30, 192) 576 conv2d_324[0][0]
__________________________________________________________________________________________________
batch_normalization_327 (BatchN (None, 30, 30, 192) 576 conv2d_327[0][0]
__________________________________________________________________________________________________
batch_normalization_332 (BatchN (None, 30, 30, 192) 576 conv2d_332[0][0]
__________________________________________________________________________________________________
batch_normalization_333 (BatchN (None, 30, 30, 192) 576 conv2d_333[0][0]
__________________________________________________________________________________________________
activation_312 (Activation) (None, 30, 30, 192) 0 batch_normalization_324[0][0]
__________________________________________________________________________________________________
activation_315 (Activation) (None, 30, 30, 192) 0 batch_normalization_327[0][0]
__________________________________________________________________________________________________
activation_320 (Activation) (None, 30, 30, 192) 0 batch_normalization_332[0][0]
__________________________________________________________________________________________________
activation_321 (Activation) (None, 30, 30, 192) 0 batch_normalization_333[0][0]
__________________________________________________________________________________________________
mixed4 (Concatenate) (None, 30, 30, 768) 0 activation_312[0][0]
activation_315[0][0]
activation_320[0][0]
activation_321[0][0]
__________________________________________________________________________________________________
conv2d_338 (Conv2D) (None, 30, 30, 160) 122880 mixed4[0][0]
__________________________________________________________________________________________________
batch_normalization_338 (BatchN (None, 30, 30, 160) 480 conv2d_338[0][0]
__________________________________________________________________________________________________
activation_326 (Activation) (None, 30, 30, 160) 0 batch_normalization_338[0][0]
__________________________________________________________________________________________________
conv2d_339 (Conv2D) (None, 30, 30, 160) 179200 activation_326[0][0]
__________________________________________________________________________________________________
batch_normalization_339 (BatchN (None, 30, 30, 160) 480 conv2d_339[0][0]
__________________________________________________________________________________________________
activation_327 (Activation) (None, 30, 30, 160) 0 batch_normalization_339[0][0]
__________________________________________________________________________________________________
conv2d_335 (Conv2D) (None, 30, 30, 160) 122880 mixed4[0][0]
__________________________________________________________________________________________________
conv2d_340 (Conv2D) (None, 30, 30, 160) 179200 activation_327[0][0]
__________________________________________________________________________________________________
batch_normalization_335 (BatchN (None, 30, 30, 160) 480 conv2d_335[0][0]
__________________________________________________________________________________________________
batch_normalization_340 (BatchN (None, 30, 30, 160) 480 conv2d_340[0][0]
__________________________________________________________________________________________________
activation_323 (Activation) (None, 30, 30, 160) 0 batch_normalization_335[0][0]
__________________________________________________________________________________________________
activation_328 (Activation) (None, 30, 30, 160) 0 batch_normalization_340[0][0]
__________________________________________________________________________________________________
conv2d_336 (Conv2D) (None, 30, 30, 160) 179200 activation_323[0][0]
__________________________________________________________________________________________________
conv2d_341 (Conv2D) (None, 30, 30, 160) 179200 activation_328[0][0]
__________________________________________________________________________________________________
batch_normalization_336 (BatchN (None, 30, 30, 160) 480 conv2d_336[0][0]
__________________________________________________________________________________________________
batch_normalization_341 (BatchN (None, 30, 30, 160) 480 conv2d_341[0][0]
__________________________________________________________________________________________________
activation_324 (Activation) (None, 30, 30, 160) 0 batch_normalization_336[0][0]
__________________________________________________________________________________________________
activation_329 (Activation) (None, 30, 30, 160) 0 batch_normalization_341[0][0]
__________________________________________________________________________________________________
average_pooling2d_31 (AveragePo (None, 30, 30, 768) 0 mixed4[0][0]
__________________________________________________________________________________________________
conv2d_334 (Conv2D) (None, 30, 30, 192) 147456 mixed4[0][0]
__________________________________________________________________________________________________
conv2d_337 (Conv2D) (None, 30, 30, 192) 215040 activation_324[0][0]
__________________________________________________________________________________________________
conv2d_342 (Conv2D) (None, 30, 30, 192) 215040 activation_329[0][0]
__________________________________________________________________________________________________
conv2d_343 (Conv2D) (None, 30, 30, 192) 147456 average_pooling2d_31[0][0]
__________________________________________________________________________________________________
batch_normalization_334 (BatchN (None, 30, 30, 192) 576 conv2d_334[0][0]
__________________________________________________________________________________________________
batch_normalization_337 (BatchN (None, 30, 30, 192) 576 conv2d_337[0][0]
__________________________________________________________________________________________________
batch_normalization_342 (BatchN (None, 30, 30, 192) 576 conv2d_342[0][0]
__________________________________________________________________________________________________
batch_normalization_343 (BatchN (None, 30, 30, 192) 576 conv2d_343[0][0]
__________________________________________________________________________________________________
activation_322 (Activation) (None, 30, 30, 192) 0 batch_normalization_334[0][0]
__________________________________________________________________________________________________
activation_325 (Activation) (None, 30, 30, 192) 0 batch_normalization_337[0][0]
__________________________________________________________________________________________________
activation_330 (Activation) (None, 30, 30, 192) 0 batch_normalization_342[0][0]
__________________________________________________________________________________________________
activation_331 (Activation) (None, 30, 30, 192) 0 batch_normalization_343[0][0]
__________________________________________________________________________________________________
mixed5 (Concatenate) (None, 30, 30, 768) 0 activation_322[0][0]
activation_325[0][0]
activation_330[0][0]
activation_331[0][0]
__________________________________________________________________________________________________
conv2d_348 (Conv2D) (None, 30, 30, 160) 122880 mixed5[0][0]
__________________________________________________________________________________________________
batch_normalization_348 (BatchN (None, 30, 30, 160) 480 conv2d_348[0][0]
__________________________________________________________________________________________________
activation_336 (Activation) (None, 30, 30, 160) 0 batch_normalization_348[0][0]
__________________________________________________________________________________________________
conv2d_349 (Conv2D) (None, 30, 30, 160) 179200 activation_336[0][0]
__________________________________________________________________________________________________
batch_normalization_349 (BatchN (None, 30, 30, 160) 480 conv2d_349[0][0]
__________________________________________________________________________________________________
activation_337 (Activation) (None, 30, 30, 160) 0 batch_normalization_349[0][0]
__________________________________________________________________________________________________
conv2d_345 (Conv2D) (None, 30, 30, 160) 122880 mixed5[0][0]
__________________________________________________________________________________________________
conv2d_350 (Conv2D) (None, 30, 30, 160) 179200 activation_337[0][0]
__________________________________________________________________________________________________
batch_normalization_345 (BatchN (None, 30, 30, 160) 480 conv2d_345[0][0]
__________________________________________________________________________________________________
batch_normalization_350 (BatchN (None, 30, 30, 160) 480 conv2d_350[0][0]
__________________________________________________________________________________________________
activation_333 (Activation) (None, 30, 30, 160) 0 batch_normalization_345[0][0]
__________________________________________________________________________________________________
activation_338 (Activation) (None, 30, 30, 160) 0 batch_normalization_350[0][0]
__________________________________________________________________________________________________
conv2d_346 (Conv2D) (None, 30, 30, 160) 179200 activation_333[0][0]
__________________________________________________________________________________________________
conv2d_351 (Conv2D) (None, 30, 30, 160) 179200 activation_338[0][0]
__________________________________________________________________________________________________
batch_normalization_346 (BatchN (None, 30, 30, 160) 480 conv2d_346[0][0]
__________________________________________________________________________________________________
batch_normalization_351 (BatchN (None, 30, 30, 160) 480 conv2d_351[0][0]
__________________________________________________________________________________________________
activation_334 (Activation) (None, 30, 30, 160) 0 batch_normalization_346[0][0]
__________________________________________________________________________________________________
activation_339 (Activation) (None, 30, 30, 160) 0 batch_normalization_351[0][0]
__________________________________________________________________________________________________
average_pooling2d_32 (AveragePo (None, 30, 30, 768) 0 mixed5[0][0]
__________________________________________________________________________________________________
conv2d_344 (Conv2D) (None, 30, 30, 192) 147456 mixed5[0][0]
__________________________________________________________________________________________________
conv2d_347 (Conv2D) (None, 30, 30, 192) 215040 activation_334[0][0]
__________________________________________________________________________________________________
conv2d_352 (Conv2D) (None, 30, 30, 192) 215040 activation_339[0][0]
__________________________________________________________________________________________________
conv2d_353 (Conv2D) (None, 30, 30, 192) 147456 average_pooling2d_32[0][0]
__________________________________________________________________________________________________
batch_normalization_344 (BatchN (None, 30, 30, 192) 576 conv2d_344[0][0]
__________________________________________________________________________________________________
batch_normalization_347 (BatchN (None, 30, 30, 192) 576 conv2d_347[0][0]
__________________________________________________________________________________________________
batch_normalization_352 (BatchN (None, 30, 30, 192) 576 conv2d_352[0][0]
__________________________________________________________________________________________________
batch_normalization_353 (BatchN (None, 30, 30, 192) 576 conv2d_353[0][0]
__________________________________________________________________________________________________
activation_332 (Activation) (None, 30, 30, 192) 0 batch_normalization_344[0][0]
__________________________________________________________________________________________________
activation_335 (Activation) (None, 30, 30, 192) 0 batch_normalization_347[0][0]
__________________________________________________________________________________________________
activation_340 (Activation) (None, 30, 30, 192) 0 batch_normalization_352[0][0]
__________________________________________________________________________________________________
activation_341 (Activation) (None, 30, 30, 192) 0 batch_normalization_353[0][0]
__________________________________________________________________________________________________
mixed6 (Concatenate) (None, 30, 30, 768) 0 activation_332[0][0]
activation_335[0][0]
activation_340[0][0]
activation_341[0][0]
__________________________________________________________________________________________________
conv2d_358 (Conv2D) (None, 30, 30, 192) 147456 mixed6[0][0]
__________________________________________________________________________________________________
batch_normalization_358 (BatchN (None, 30, 30, 192) 576 conv2d_358[0][0]
__________________________________________________________________________________________________
activation_346 (Activation) (None, 30, 30, 192) 0 batch_normalization_358[0][0]
__________________________________________________________________________________________________
conv2d_359 (Conv2D) (None, 30, 30, 192) 258048 activation_346[0][0]
__________________________________________________________________________________________________
batch_normalization_359 (BatchN (None, 30, 30, 192) 576 conv2d_359[0][0]
__________________________________________________________________________________________________
activation_347 (Activation) (None, 30, 30, 192) 0 batch_normalization_359[0][0]
__________________________________________________________________________________________________
conv2d_355 (Conv2D) (None, 30, 30, 192) 147456 mixed6[0][0]
__________________________________________________________________________________________________
conv2d_360 (Conv2D) (None, 30, 30, 192) 258048 activation_347[0][0]
__________________________________________________________________________________________________
batch_normalization_355 (BatchN (None, 30, 30, 192) 576 conv2d_355[0][0]
__________________________________________________________________________________________________
batch_normalization_360 (BatchN (None, 30, 30, 192) 576 conv2d_360[0][0]
__________________________________________________________________________________________________
activation_343 (Activation) (None, 30, 30, 192) 0 batch_normalization_355[0][0]
__________________________________________________________________________________________________
activation_348 (Activation) (None, 30, 30, 192) 0 batch_normalization_360[0][0]
__________________________________________________________________________________________________
conv2d_356 (Conv2D) (None, 30, 30, 192) 258048 activation_343[0][0]
__________________________________________________________________________________________________
conv2d_361 (Conv2D) (None, 30, 30, 192) 258048 activation_348[0][0]
__________________________________________________________________________________________________
batch_normalization_356 (BatchN (None, 30, 30, 192) 576 conv2d_356[0][0]
__________________________________________________________________________________________________
batch_normalization_361 (BatchN (None, 30, 30, 192) 576 conv2d_361[0][0]
__________________________________________________________________________________________________
activation_344 (Activation) (None, 30, 30, 192) 0 batch_normalization_356[0][0]
__________________________________________________________________________________________________
activation_349 (Activation) (None, 30, 30, 192) 0 batch_normalization_361[0][0]
__________________________________________________________________________________________________
average_pooling2d_33 (AveragePo (None, 30, 30, 768) 0 mixed6[0][0]
__________________________________________________________________________________________________
conv2d_354 (Conv2D) (None, 30, 30, 192) 147456 mixed6[0][0]
__________________________________________________________________________________________________
conv2d_357 (Conv2D) (None, 30, 30, 192) 258048 activation_344[0][0]
__________________________________________________________________________________________________
conv2d_362 (Conv2D) (None, 30, 30, 192) 258048 activation_349[0][0]
__________________________________________________________________________________________________
conv2d_363 (Conv2D) (None, 30, 30, 192) 147456 average_pooling2d_33[0][0]
__________________________________________________________________________________________________
batch_normalization_354 (BatchN (None, 30, 30, 192) 576 conv2d_354[0][0]
__________________________________________________________________________________________________
batch_normalization_357 (BatchN (None, 30, 30, 192) 576 conv2d_357[0][0]
__________________________________________________________________________________________________
batch_normalization_362 (BatchN (None, 30, 30, 192) 576 conv2d_362[0][0]
__________________________________________________________________________________________________
batch_normalization_363 (BatchN (None, 30, 30, 192) 576 conv2d_363[0][0]
__________________________________________________________________________________________________
activation_342 (Activation) (None, 30, 30, 192) 0 batch_normalization_354[0][0]
__________________________________________________________________________________________________
activation_345 (Activation) (None, 30, 30, 192) 0 batch_normalization_357[0][0]
__________________________________________________________________________________________________
activation_350 (Activation) (None, 30, 30, 192) 0 batch_normalization_362[0][0]
__________________________________________________________________________________________________
activation_351 (Activation) (None, 30, 30, 192) 0 batch_normalization_363[0][0]
__________________________________________________________________________________________________
mixed7 (Concatenate) (None, 30, 30, 768) 0 activation_342[0][0]
activation_345[0][0]
activation_350[0][0]
activation_351[0][0]
__________________________________________________________________________________________________
conv2d_366 (Conv2D) (None, 30, 30, 192) 147456 mixed7[0][0]
__________________________________________________________________________________________________
batch_normalization_366 (BatchN (None, 30, 30, 192) 576 conv2d_366[0][0]
__________________________________________________________________________________________________
activation_354 (Activation) (None, 30, 30, 192) 0 batch_normalization_366[0][0]
__________________________________________________________________________________________________
conv2d_367 (Conv2D) (None, 30, 30, 192) 258048 activation_354[0][0]
__________________________________________________________________________________________________
batch_normalization_367 (BatchN (None, 30, 30, 192) 576 conv2d_367[0][0]
__________________________________________________________________________________________________
activation_355 (Activation) (None, 30, 30, 192) 0 batch_normalization_367[0][0]
__________________________________________________________________________________________________
conv2d_364 (Conv2D) (None, 30, 30, 192) 147456 mixed7[0][0]
__________________________________________________________________________________________________
conv2d_368 (Conv2D) (None, 30, 30, 192) 258048 activation_355[0][0]
__________________________________________________________________________________________________
batch_normalization_364 (BatchN (None, 30, 30, 192) 576 conv2d_364[0][0]
__________________________________________________________________________________________________
batch_normalization_368 (BatchN (None, 30, 30, 192) 576 conv2d_368[0][0]
__________________________________________________________________________________________________
activation_352 (Activation) (None, 30, 30, 192) 0 batch_normalization_364[0][0]
__________________________________________________________________________________________________
activation_356 (Activation) (None, 30, 30, 192) 0 batch_normalization_368[0][0]
__________________________________________________________________________________________________
conv2d_365 (Conv2D) (None, 14, 14, 320) 552960 activation_352[0][0]
__________________________________________________________________________________________________
conv2d_369 (Conv2D) (None, 14, 14, 192) 331776 activation_356[0][0]
__________________________________________________________________________________________________
batch_normalization_365 (BatchN (None, 14, 14, 320) 960 conv2d_365[0][0]
__________________________________________________________________________________________________
batch_normalization_369 (BatchN (None, 14, 14, 192) 576 conv2d_369[0][0]
__________________________________________________________________________________________________
activation_353 (Activation) (None, 14, 14, 320) 0 batch_normalization_365[0][0]
__________________________________________________________________________________________________
activation_357 (Activation) (None, 14, 14, 192) 0 batch_normalization_369[0][0]
__________________________________________________________________________________________________
max_pooling2d_15 (MaxPooling2D) (None, 14, 14, 768) 0 mixed7[0][0]
__________________________________________________________________________________________________
mixed8 (Concatenate) (None, 14, 14, 1280) 0 activation_353[0][0]
activation_357[0][0]
max_pooling2d_15[0][0]
__________________________________________________________________________________________________
conv2d_374 (Conv2D) (None, 14, 14, 448) 573440 mixed8[0][0]
__________________________________________________________________________________________________
batch_normalization_374 (BatchN (None, 14, 14, 448) 1344 conv2d_374[0][0]
__________________________________________________________________________________________________
activation_362 (Activation) (None, 14, 14, 448) 0 batch_normalization_374[0][0]
__________________________________________________________________________________________________
conv2d_371 (Conv2D) (None, 14, 14, 384) 491520 mixed8[0][0]
__________________________________________________________________________________________________
conv2d_375 (Conv2D) (None, 14, 14, 384) 1548288 activation_362[0][0]
__________________________________________________________________________________________________
batch_normalization_371 (BatchN (None, 14, 14, 384) 1152 conv2d_371[0][0]
__________________________________________________________________________________________________
batch_normalization_375 (BatchN (None, 14, 14, 384) 1152 conv2d_375[0][0]
__________________________________________________________________________________________________
activation_359 (Activation) (None, 14, 14, 384) 0 batch_normalization_371[0][0]
__________________________________________________________________________________________________
activation_363 (Activation) (None, 14, 14, 384) 0 batch_normalization_375[0][0]
__________________________________________________________________________________________________
conv2d_372 (Conv2D) (None, 14, 14, 384) 442368 activation_359[0][0]
__________________________________________________________________________________________________
conv2d_373 (Conv2D) (None, 14, 14, 384) 442368 activation_359[0][0]
__________________________________________________________________________________________________
conv2d_376 (Conv2D) (None, 14, 14, 384) 442368 activation_363[0][0]
__________________________________________________________________________________________________
conv2d_377 (Conv2D) (None, 14, 14, 384) 442368 activation_363[0][0]
__________________________________________________________________________________________________
average_pooling2d_34 (AveragePo (None, 14, 14, 1280) 0 mixed8[0][0]
__________________________________________________________________________________________________
conv2d_370 (Conv2D) (None, 14, 14, 320) 409600 mixed8[0][0]
__________________________________________________________________________________________________
batch_normalization_372 (BatchN (None, 14, 14, 384) 1152 conv2d_372[0][0]
__________________________________________________________________________________________________
batch_normalization_373 (BatchN (None, 14, 14, 384) 1152 conv2d_373[0][0]
__________________________________________________________________________________________________
batch_normalization_376 (BatchN (None, 14, 14, 384) 1152 conv2d_376[0][0]
__________________________________________________________________________________________________
batch_normalization_377 (BatchN (None, 14, 14, 384) 1152 conv2d_377[0][0]
__________________________________________________________________________________________________
conv2d_378 (Conv2D) (None, 14, 14, 192) 245760 average_pooling2d_34[0][0]
__________________________________________________________________________________________________
batch_normalization_370 (BatchN (None, 14, 14, 320) 960 conv2d_370[0][0]
__________________________________________________________________________________________________
activation_360 (Activation) (None, 14, 14, 384) 0 batch_normalization_372[0][0]
__________________________________________________________________________________________________
activation_361 (Activation) (None, 14, 14, 384) 0 batch_normalization_373[0][0]
__________________________________________________________________________________________________
activation_364 (Activation) (None, 14, 14, 384) 0 batch_normalization_376[0][0]
__________________________________________________________________________________________________
activation_365 (Activation) (None, 14, 14, 384) 0 batch_normalization_377[0][0]
__________________________________________________________________________________________________
batch_normalization_378 (BatchN (None, 14, 14, 192) 576 conv2d_378[0][0]
__________________________________________________________________________________________________
activation_358 (Activation) (None, 14, 14, 320) 0 batch_normalization_370[0][0]
__________________________________________________________________________________________________
mixed9_0 (Concatenate) (None, 14, 14, 768) 0 activation_360[0][0]
activation_361[0][0]
__________________________________________________________________________________________________
concatenate_6 (Concatenate) (None, 14, 14, 768) 0 activation_364[0][0]
activation_365[0][0]
__________________________________________________________________________________________________
activation_366 (Activation) (None, 14, 14, 192) 0 batch_normalization_378[0][0]
__________________________________________________________________________________________________
mixed9 (Concatenate) (None, 14, 14, 2048) 0 activation_358[0][0]
mixed9_0[0][0]
concatenate_6[0][0]
activation_366[0][0]
__________________________________________________________________________________________________
conv2d_383 (Conv2D) (None, 14, 14, 448) 917504 mixed9[0][0]
__________________________________________________________________________________________________
batch_normalization_383 (BatchN (None, 14, 14, 448) 1344 conv2d_383[0][0]
__________________________________________________________________________________________________
activation_371 (Activation) (None, 14, 14, 448) 0 batch_normalization_383[0][0]
__________________________________________________________________________________________________
conv2d_380 (Conv2D) (None, 14, 14, 384) 786432 mixed9[0][0]
__________________________________________________________________________________________________
conv2d_384 (Conv2D) (None, 14, 14, 384) 1548288 activation_371[0][0]
__________________________________________________________________________________________________
batch_normalization_380 (BatchN (None, 14, 14, 384) 1152 conv2d_380[0][0]
__________________________________________________________________________________________________
batch_normalization_384 (BatchN (None, 14, 14, 384) 1152 conv2d_384[0][0]
__________________________________________________________________________________________________
activation_368 (Activation) (None, 14, 14, 384) 0 batch_normalization_380[0][0]
__________________________________________________________________________________________________
activation_372 (Activation) (None, 14, 14, 384) 0 batch_normalization_384[0][0]
__________________________________________________________________________________________________
conv2d_381 (Conv2D) (None, 14, 14, 384) 442368 activation_368[0][0]
__________________________________________________________________________________________________
conv2d_382 (Conv2D) (None, 14, 14, 384) 442368 activation_368[0][0]
__________________________________________________________________________________________________
conv2d_385 (Conv2D) (None, 14, 14, 384) 442368 activation_372[0][0]
__________________________________________________________________________________________________
conv2d_386 (Conv2D) (None, 14, 14, 384) 442368 activation_372[0][0]
__________________________________________________________________________________________________
average_pooling2d_35 (AveragePo (None, 14, 14, 2048) 0 mixed9[0][0]
__________________________________________________________________________________________________
conv2d_379 (Conv2D) (None, 14, 14, 320) 655360 mixed9[0][0]
__________________________________________________________________________________________________
batch_normalization_381 (BatchN (None, 14, 14, 384) 1152 conv2d_381[0][0]
__________________________________________________________________________________________________
batch_normalization_382 (BatchN (None, 14, 14, 384) 1152 conv2d_382[0][0]
__________________________________________________________________________________________________
batch_normalization_385 (BatchN (None, 14, 14, 384) 1152 conv2d_385[0][0]
__________________________________________________________________________________________________
batch_normalization_386 (BatchN (None, 14, 14, 384) 1152 conv2d_386[0][0]
__________________________________________________________________________________________________
conv2d_387 (Conv2D) (None, 14, 14, 192) 393216 average_pooling2d_35[0][0]
__________________________________________________________________________________________________
batch_normalization_379 (BatchN (None, 14, 14, 320) 960 conv2d_379[0][0]
__________________________________________________________________________________________________
activation_369 (Activation) (None, 14, 14, 384) 0 batch_normalization_381[0][0]
__________________________________________________________________________________________________
activation_370 (Activation) (None, 14, 14, 384) 0 batch_normalization_382[0][0]
__________________________________________________________________________________________________
activation_373 (Activation) (None, 14, 14, 384) 0 batch_normalization_385[0][0]
__________________________________________________________________________________________________
activation_374 (Activation) (None, 14, 14, 384) 0 batch_normalization_386[0][0]
__________________________________________________________________________________________________
batch_normalization_387 (BatchN (None, 14, 14, 192) 576 conv2d_387[0][0]
__________________________________________________________________________________________________
activation_367 (Activation) (None, 14, 14, 320) 0 batch_normalization_379[0][0]
__________________________________________________________________________________________________
mixed9_1 (Concatenate) (None, 14, 14, 768) 0 activation_369[0][0]
activation_370[0][0]
__________________________________________________________________________________________________
concatenate_7 (Concatenate) (None, 14, 14, 768) 0 activation_373[0][0]
activation_374[0][0]
__________________________________________________________________________________________________
activation_375 (Activation) (None, 14, 14, 192) 0 batch_normalization_387[0][0]
__________________________________________________________________________________________________
mixed10 (Concatenate) (None, 14, 14, 2048) 0 activation_367[0][0]
mixed9_1[0][0]
concatenate_7[0][0]
activation_375[0][0]
__________________________________________________________________________________________________
global_average_pooling2d_10 (Gl (None, 2048) 0 mixed10[0][0]
__________________________________________________________________________________________________
dense_10 (Dense) (None, 2) 4098 global_average_pooling2d_10[0][0]
==================================================================================================
Total params: 21,806,882
Trainable params: 21,772,450
Non-trainable params: 34,432
__________________________________________________________________________________________________
def xception_architecture():
"""
Pre-build architecture of inception for our dataset.
"""
# Imprting the model
from keras.applications.xception import Xception
# Pre-build model
base_model = Xception(include_top = False, weights = None, input_tensor = model_input)
# Adding output layers
x = base_model.output
x = GlobalAveragePooling2D()(x)
output = Dense(units = 2, activation = 'softmax')(x)
# Creating the whole model
xception_model = Model(base_model.input, output)
# Summary of the model
xception_model.summary()
# Compiling the model
xception_model.compile(optimizer = keras.optimizers.Adam(lr = 0.001),
loss = 'categorical_crossentropy',
metrics = ['accuracy'])
return xception_model
# Model 3
xception_model = xception_architecture()
xception_model.load_weights("/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5")
Model: "model_11"
__________________________________________________________________________________________________
Layer (type) Output Shape Param # Connected to
==================================================================================================
input_10 (InputLayer) [(None, 512, 512, 3) 0
__________________________________________________________________________________________________
block1_conv1 (Conv2D) (None, 255, 255, 32) 864 input_10[0][0]
__________________________________________________________________________________________________
block1_conv1_bn (BatchNormaliza (None, 255, 255, 32) 128 block1_conv1[0][0]
__________________________________________________________________________________________________
block1_conv1_act (Activation) (None, 255, 255, 32) 0 block1_conv1_bn[0][0]
__________________________________________________________________________________________________
block1_conv2 (Conv2D) (None, 253, 253, 64) 18432 block1_conv1_act[0][0]
__________________________________________________________________________________________________
block1_conv2_bn (BatchNormaliza (None, 253, 253, 64) 256 block1_conv2[0][0]
__________________________________________________________________________________________________
block1_conv2_act (Activation) (None, 253, 253, 64) 0 block1_conv2_bn[0][0]
__________________________________________________________________________________________________
block2_sepconv1 (SeparableConv2 (None, 253, 253, 128 8768 block1_conv2_act[0][0]
__________________________________________________________________________________________________
block2_sepconv1_bn (BatchNormal (None, 253, 253, 128 512 block2_sepconv1[0][0]
__________________________________________________________________________________________________
block2_sepconv2_act (Activation (None, 253, 253, 128 0 block2_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block2_sepconv2 (SeparableConv2 (None, 253, 253, 128 17536 block2_sepconv2_act[0][0]
__________________________________________________________________________________________________
block2_sepconv2_bn (BatchNormal (None, 253, 253, 128 512 block2_sepconv2[0][0]
__________________________________________________________________________________________________
conv2d_388 (Conv2D) (None, 127, 127, 128 8192 block1_conv2_act[0][0]
__________________________________________________________________________________________________
block2_pool (MaxPooling2D) (None, 127, 127, 128 0 block2_sepconv2_bn[0][0]
__________________________________________________________________________________________________
batch_normalization_388 (BatchN (None, 127, 127, 128 512 conv2d_388[0][0]
__________________________________________________________________________________________________
add_36 (Add) (None, 127, 127, 128 0 block2_pool[0][0]
batch_normalization_388[0][0]
__________________________________________________________________________________________________
block3_sepconv1_act (Activation (None, 127, 127, 128 0 add_36[0][0]
__________________________________________________________________________________________________
block3_sepconv1 (SeparableConv2 (None, 127, 127, 256 33920 block3_sepconv1_act[0][0]
__________________________________________________________________________________________________
block3_sepconv1_bn (BatchNormal (None, 127, 127, 256 1024 block3_sepconv1[0][0]
__________________________________________________________________________________________________
block3_sepconv2_act (Activation (None, 127, 127, 256 0 block3_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block3_sepconv2 (SeparableConv2 (None, 127, 127, 256 67840 block3_sepconv2_act[0][0]
__________________________________________________________________________________________________
block3_sepconv2_bn (BatchNormal (None, 127, 127, 256 1024 block3_sepconv2[0][0]
__________________________________________________________________________________________________
conv2d_389 (Conv2D) (None, 64, 64, 256) 32768 add_36[0][0]
__________________________________________________________________________________________________
block3_pool (MaxPooling2D) (None, 64, 64, 256) 0 block3_sepconv2_bn[0][0]
__________________________________________________________________________________________________
batch_normalization_389 (BatchN (None, 64, 64, 256) 1024 conv2d_389[0][0]
__________________________________________________________________________________________________
add_37 (Add) (None, 64, 64, 256) 0 block3_pool[0][0]
batch_normalization_389[0][0]
__________________________________________________________________________________________________
block4_sepconv1_act (Activation (None, 64, 64, 256) 0 add_37[0][0]
__________________________________________________________________________________________________
block4_sepconv1 (SeparableConv2 (None, 64, 64, 728) 188672 block4_sepconv1_act[0][0]
__________________________________________________________________________________________________
block4_sepconv1_bn (BatchNormal (None, 64, 64, 728) 2912 block4_sepconv1[0][0]
__________________________________________________________________________________________________
block4_sepconv2_act (Activation (None, 64, 64, 728) 0 block4_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block4_sepconv2 (SeparableConv2 (None, 64, 64, 728) 536536 block4_sepconv2_act[0][0]
__________________________________________________________________________________________________
block4_sepconv2_bn (BatchNormal (None, 64, 64, 728) 2912 block4_sepconv2[0][0]
__________________________________________________________________________________________________
conv2d_390 (Conv2D) (None, 32, 32, 728) 186368 add_37[0][0]
__________________________________________________________________________________________________
block4_pool (MaxPooling2D) (None, 32, 32, 728) 0 block4_sepconv2_bn[0][0]
__________________________________________________________________________________________________
batch_normalization_390 (BatchN (None, 32, 32, 728) 2912 conv2d_390[0][0]
__________________________________________________________________________________________________
add_38 (Add) (None, 32, 32, 728) 0 block4_pool[0][0]
batch_normalization_390[0][0]
__________________________________________________________________________________________________
block5_sepconv1_act (Activation (None, 32, 32, 728) 0 add_38[0][0]
__________________________________________________________________________________________________
block5_sepconv1 (SeparableConv2 (None, 32, 32, 728) 536536 block5_sepconv1_act[0][0]
__________________________________________________________________________________________________
block5_sepconv1_bn (BatchNormal (None, 32, 32, 728) 2912 block5_sepconv1[0][0]
__________________________________________________________________________________________________
block5_sepconv2_act (Activation (None, 32, 32, 728) 0 block5_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block5_sepconv2 (SeparableConv2 (None, 32, 32, 728) 536536 block5_sepconv2_act[0][0]
__________________________________________________________________________________________________
block5_sepconv2_bn (BatchNormal (None, 32, 32, 728) 2912 block5_sepconv2[0][0]
__________________________________________________________________________________________________
block5_sepconv3_act (Activation (None, 32, 32, 728) 0 block5_sepconv2_bn[0][0]
__________________________________________________________________________________________________
block5_sepconv3 (SeparableConv2 (None, 32, 32, 728) 536536 block5_sepconv3_act[0][0]
__________________________________________________________________________________________________
block5_sepconv3_bn (BatchNormal (None, 32, 32, 728) 2912 block5_sepconv3[0][0]
__________________________________________________________________________________________________
add_39 (Add) (None, 32, 32, 728) 0 block5_sepconv3_bn[0][0]
add_38[0][0]
__________________________________________________________________________________________________
block6_sepconv1_act (Activation (None, 32, 32, 728) 0 add_39[0][0]
__________________________________________________________________________________________________
block6_sepconv1 (SeparableConv2 (None, 32, 32, 728) 536536 block6_sepconv1_act[0][0]
__________________________________________________________________________________________________
block6_sepconv1_bn (BatchNormal (None, 32, 32, 728) 2912 block6_sepconv1[0][0]
__________________________________________________________________________________________________
block6_sepconv2_act (Activation (None, 32, 32, 728) 0 block6_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block6_sepconv2 (SeparableConv2 (None, 32, 32, 728) 536536 block6_sepconv2_act[0][0]
__________________________________________________________________________________________________
block6_sepconv2_bn (BatchNormal (None, 32, 32, 728) 2912 block6_sepconv2[0][0]
__________________________________________________________________________________________________
block6_sepconv3_act (Activation (None, 32, 32, 728) 0 block6_sepconv2_bn[0][0]
__________________________________________________________________________________________________
block6_sepconv3 (SeparableConv2 (None, 32, 32, 728) 536536 block6_sepconv3_act[0][0]
__________________________________________________________________________________________________
block6_sepconv3_bn (BatchNormal (None, 32, 32, 728) 2912 block6_sepconv3[0][0]
__________________________________________________________________________________________________
add_40 (Add) (None, 32, 32, 728) 0 block6_sepconv3_bn[0][0]
add_39[0][0]
__________________________________________________________________________________________________
block7_sepconv1_act (Activation (None, 32, 32, 728) 0 add_40[0][0]
__________________________________________________________________________________________________
block7_sepconv1 (SeparableConv2 (None, 32, 32, 728) 536536 block7_sepconv1_act[0][0]
__________________________________________________________________________________________________
block7_sepconv1_bn (BatchNormal (None, 32, 32, 728) 2912 block7_sepconv1[0][0]
__________________________________________________________________________________________________
block7_sepconv2_act (Activation (None, 32, 32, 728) 0 block7_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block7_sepconv2 (SeparableConv2 (None, 32, 32, 728) 536536 block7_sepconv2_act[0][0]
__________________________________________________________________________________________________
block7_sepconv2_bn (BatchNormal (None, 32, 32, 728) 2912 block7_sepconv2[0][0]
__________________________________________________________________________________________________
block7_sepconv3_act (Activation (None, 32, 32, 728) 0 block7_sepconv2_bn[0][0]
__________________________________________________________________________________________________
block7_sepconv3 (SeparableConv2 (None, 32, 32, 728) 536536 block7_sepconv3_act[0][0]
__________________________________________________________________________________________________
block7_sepconv3_bn (BatchNormal (None, 32, 32, 728) 2912 block7_sepconv3[0][0]
__________________________________________________________________________________________________
add_41 (Add) (None, 32, 32, 728) 0 block7_sepconv3_bn[0][0]
add_40[0][0]
__________________________________________________________________________________________________
block8_sepconv1_act (Activation (None, 32, 32, 728) 0 add_41[0][0]
__________________________________________________________________________________________________
block8_sepconv1 (SeparableConv2 (None, 32, 32, 728) 536536 block8_sepconv1_act[0][0]
__________________________________________________________________________________________________
block8_sepconv1_bn (BatchNormal (None, 32, 32, 728) 2912 block8_sepconv1[0][0]
__________________________________________________________________________________________________
block8_sepconv2_act (Activation (None, 32, 32, 728) 0 block8_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block8_sepconv2 (SeparableConv2 (None, 32, 32, 728) 536536 block8_sepconv2_act[0][0]
__________________________________________________________________________________________________
block8_sepconv2_bn (BatchNormal (None, 32, 32, 728) 2912 block8_sepconv2[0][0]
__________________________________________________________________________________________________
block8_sepconv3_act (Activation (None, 32, 32, 728) 0 block8_sepconv2_bn[0][0]
__________________________________________________________________________________________________
block8_sepconv3 (SeparableConv2 (None, 32, 32, 728) 536536 block8_sepconv3_act[0][0]
__________________________________________________________________________________________________
block8_sepconv3_bn (BatchNormal (None, 32, 32, 728) 2912 block8_sepconv3[0][0]
__________________________________________________________________________________________________
add_42 (Add) (None, 32, 32, 728) 0 block8_sepconv3_bn[0][0]
add_41[0][0]
__________________________________________________________________________________________________
block9_sepconv1_act (Activation (None, 32, 32, 728) 0 add_42[0][0]
__________________________________________________________________________________________________
block9_sepconv1 (SeparableConv2 (None, 32, 32, 728) 536536 block9_sepconv1_act[0][0]
__________________________________________________________________________________________________
block9_sepconv1_bn (BatchNormal (None, 32, 32, 728) 2912 block9_sepconv1[0][0]
__________________________________________________________________________________________________
block9_sepconv2_act (Activation (None, 32, 32, 728) 0 block9_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block9_sepconv2 (SeparableConv2 (None, 32, 32, 728) 536536 block9_sepconv2_act[0][0]
__________________________________________________________________________________________________
block9_sepconv2_bn (BatchNormal (None, 32, 32, 728) 2912 block9_sepconv2[0][0]
__________________________________________________________________________________________________
block9_sepconv3_act (Activation (None, 32, 32, 728) 0 block9_sepconv2_bn[0][0]
__________________________________________________________________________________________________
block9_sepconv3 (SeparableConv2 (None, 32, 32, 728) 536536 block9_sepconv3_act[0][0]
__________________________________________________________________________________________________
block9_sepconv3_bn (BatchNormal (None, 32, 32, 728) 2912 block9_sepconv3[0][0]
__________________________________________________________________________________________________
add_43 (Add) (None, 32, 32, 728) 0 block9_sepconv3_bn[0][0]
add_42[0][0]
__________________________________________________________________________________________________
block10_sepconv1_act (Activatio (None, 32, 32, 728) 0 add_43[0][0]
__________________________________________________________________________________________________
block10_sepconv1 (SeparableConv (None, 32, 32, 728) 536536 block10_sepconv1_act[0][0]
__________________________________________________________________________________________________
block10_sepconv1_bn (BatchNorma (None, 32, 32, 728) 2912 block10_sepconv1[0][0]
__________________________________________________________________________________________________
block10_sepconv2_act (Activatio (None, 32, 32, 728) 0 block10_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block10_sepconv2 (SeparableConv (None, 32, 32, 728) 536536 block10_sepconv2_act[0][0]
__________________________________________________________________________________________________
block10_sepconv2_bn (BatchNorma (None, 32, 32, 728) 2912 block10_sepconv2[0][0]
__________________________________________________________________________________________________
block10_sepconv3_act (Activatio (None, 32, 32, 728) 0 block10_sepconv2_bn[0][0]
__________________________________________________________________________________________________
block10_sepconv3 (SeparableConv (None, 32, 32, 728) 536536 block10_sepconv3_act[0][0]
__________________________________________________________________________________________________
block10_sepconv3_bn (BatchNorma (None, 32, 32, 728) 2912 block10_sepconv3[0][0]
__________________________________________________________________________________________________
add_44 (Add) (None, 32, 32, 728) 0 block10_sepconv3_bn[0][0]
add_43[0][0]
__________________________________________________________________________________________________
block11_sepconv1_act (Activatio (None, 32, 32, 728) 0 add_44[0][0]
__________________________________________________________________________________________________
block11_sepconv1 (SeparableConv (None, 32, 32, 728) 536536 block11_sepconv1_act[0][0]
__________________________________________________________________________________________________
block11_sepconv1_bn (BatchNorma (None, 32, 32, 728) 2912 block11_sepconv1[0][0]
__________________________________________________________________________________________________
block11_sepconv2_act (Activatio (None, 32, 32, 728) 0 block11_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block11_sepconv2 (SeparableConv (None, 32, 32, 728) 536536 block11_sepconv2_act[0][0]
__________________________________________________________________________________________________
block11_sepconv2_bn (BatchNorma (None, 32, 32, 728) 2912 block11_sepconv2[0][0]
__________________________________________________________________________________________________
block11_sepconv3_act (Activatio (None, 32, 32, 728) 0 block11_sepconv2_bn[0][0]
__________________________________________________________________________________________________
block11_sepconv3 (SeparableConv (None, 32, 32, 728) 536536 block11_sepconv3_act[0][0]
__________________________________________________________________________________________________
block11_sepconv3_bn (BatchNorma (None, 32, 32, 728) 2912 block11_sepconv3[0][0]
__________________________________________________________________________________________________
add_45 (Add) (None, 32, 32, 728) 0 block11_sepconv3_bn[0][0]
add_44[0][0]
__________________________________________________________________________________________________
block12_sepconv1_act (Activatio (None, 32, 32, 728) 0 add_45[0][0]
__________________________________________________________________________________________________
block12_sepconv1 (SeparableConv (None, 32, 32, 728) 536536 block12_sepconv1_act[0][0]
__________________________________________________________________________________________________
block12_sepconv1_bn (BatchNorma (None, 32, 32, 728) 2912 block12_sepconv1[0][0]
__________________________________________________________________________________________________
block12_sepconv2_act (Activatio (None, 32, 32, 728) 0 block12_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block12_sepconv2 (SeparableConv (None, 32, 32, 728) 536536 block12_sepconv2_act[0][0]
__________________________________________________________________________________________________
block12_sepconv2_bn (BatchNorma (None, 32, 32, 728) 2912 block12_sepconv2[0][0]
__________________________________________________________________________________________________
block12_sepconv3_act (Activatio (None, 32, 32, 728) 0 block12_sepconv2_bn[0][0]
__________________________________________________________________________________________________
block12_sepconv3 (SeparableConv (None, 32, 32, 728) 536536 block12_sepconv3_act[0][0]
__________________________________________________________________________________________________
block12_sepconv3_bn (BatchNorma (None, 32, 32, 728) 2912 block12_sepconv3[0][0]
__________________________________________________________________________________________________
add_46 (Add) (None, 32, 32, 728) 0 block12_sepconv3_bn[0][0]
add_45[0][0]
__________________________________________________________________________________________________
block13_sepconv1_act (Activatio (None, 32, 32, 728) 0 add_46[0][0]
__________________________________________________________________________________________________
block13_sepconv1 (SeparableConv (None, 32, 32, 728) 536536 block13_sepconv1_act[0][0]
__________________________________________________________________________________________________
block13_sepconv1_bn (BatchNorma (None, 32, 32, 728) 2912 block13_sepconv1[0][0]
__________________________________________________________________________________________________
block13_sepconv2_act (Activatio (None, 32, 32, 728) 0 block13_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block13_sepconv2 (SeparableConv (None, 32, 32, 1024) 752024 block13_sepconv2_act[0][0]
__________________________________________________________________________________________________
block13_sepconv2_bn (BatchNorma (None, 32, 32, 1024) 4096 block13_sepconv2[0][0]
__________________________________________________________________________________________________
conv2d_391 (Conv2D) (None, 16, 16, 1024) 745472 add_46[0][0]
__________________________________________________________________________________________________
block13_pool (MaxPooling2D) (None, 16, 16, 1024) 0 block13_sepconv2_bn[0][0]
__________________________________________________________________________________________________
batch_normalization_391 (BatchN (None, 16, 16, 1024) 4096 conv2d_391[0][0]
__________________________________________________________________________________________________
add_47 (Add) (None, 16, 16, 1024) 0 block13_pool[0][0]
batch_normalization_391[0][0]
__________________________________________________________________________________________________
block14_sepconv1 (SeparableConv (None, 16, 16, 1536) 1582080 add_47[0][0]
__________________________________________________________________________________________________
block14_sepconv1_bn (BatchNorma (None, 16, 16, 1536) 6144 block14_sepconv1[0][0]
__________________________________________________________________________________________________
block14_sepconv1_act (Activatio (None, 16, 16, 1536) 0 block14_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block14_sepconv2 (SeparableConv (None, 16, 16, 2048) 3159552 block14_sepconv1_act[0][0]
__________________________________________________________________________________________________
block14_sepconv2_bn (BatchNorma (None, 16, 16, 2048) 8192 block14_sepconv2[0][0]
__________________________________________________________________________________________________
block14_sepconv2_act (Activatio (None, 16, 16, 2048) 0 block14_sepconv2_bn[0][0]
__________________________________________________________________________________________________
global_average_pooling2d_11 (Gl (None, 2048) 0 block14_sepconv2_act[0][0]
__________________________________________________________________________________________________
dense_11 (Dense) (None, 2) 4098 global_average_pooling2d_11[0][0]
==================================================================================================
Total params: 20,865,578
Trainable params: 20,811,050
Non-trainable params: 54,528
__________________________________________________________________________________________________
# Appending all models
models = [mobilenet_model, inception_model, xception_model]
def ensemble(models, model_input):
outputs = [model.outputs[0] for model in models]
print("Outputs: ")
print(outputs)
y = keras.layers.Average()(outputs)
print("y: ")
print(y)
model = Model(model_input, y, name='ensemble')
print("Model: ")
print(model)
return model
# Getting ensemble model
ensemble_model = ensemble(models, model_input)
Outputs: [<KerasTensor: shape=(None, 2) dtype=float32 (created by layer 'dense_9')>, <KerasTensor: shape=(None, 2) dtype=float32 (created by layer 'dense_10')>, <KerasTensor: shape=(None, 2) dtype=float32 (created by layer 'dense_11')>] y: KerasTensor(type_spec=TensorSpec(shape=(None, 2), dtype=tf.float32, name=None), name='average/truediv:0', description="created by layer 'average'") Model: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0>
# load models from file
def load_all_models(weight_file_names_with_path):
all_models = list()
for epoch in range(0,len(weight_file_names_with_path)):
# define filename for this ensemble
filename = weight_file_names_with_path[epoch] #'model_' + str(epoch) + '.h5'
# load model from file
model = load_model(filename)
# add to list of members
all_models.append(model)
print('>loaded %s' % filename)
return all_models
weight_file_names_with_path = ["/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5","/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5","/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5"]
# load all models into memory
members = load_all_models(weight_file_names_with_path)
print('Loaded %d models' % len(members))
>loaded /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5 >loaded /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5 >loaded /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5 Loaded 3 models
members
[<tensorflow.python.keras.engine.functional.Functional at 0x7fb3782ba410>, <tensorflow.python.keras.engine.functional.Functional at 0x7fb269db78d0>, <tensorflow.python.keras.engine.functional.Functional at 0x7fb27541f490>]
# prepare an array of equal weights
n_models = len(members)
total_weights = [1/n_models for i in range(1, n_models+1)] #[1/3 for i in range(1,(3+1))]
n_models
3
total_weights
[0.3333333333333333, 0.3333333333333333, 0.3333333333333333]
for weight in total_weights:
weight = float(weight)
total_weights
[0.3333333333333333, 0.3333333333333333, 0.3333333333333333]
type(total_weights)
list
type(total_weights[0])
float
new_model = None
weights_of_MobileNet = members[0].get_weights()
print(weights_of_MobileNet)
[array([[[[ 0.08003967, 0.06701884, -0.00917125, 0.05773374,
-0.02334076, 0.12947375, -0.10602847, 0.09505112,
-0.06066425, 0.05592565, 0.13367547, 0.04283908,
0.05161681, 0.08721521, 0.12351125, -0.07602793,
-0.0898913 , -0.01630283, 0.09825794, -0.06842069,
-0.15861864, -0.09215762, -0.14614232, -0.12056299,
0.00958671, -0.03404507, 0.01396995, -0.0709205 ,
-0.01550387, 0.11480875, 0.11634406, -0.05098934],
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-3.40416282e-03, -8.73775501e-03, -2.19295193e-02, -9.13392380e-03,
-1.31834429e-02, 2.67605181e-04, -5.73284505e-03, 4.93470998e-03,
-2.43214238e-02, -7.63459643e-03, -2.14374415e-03, -1.80964321e-02,
-4.47110971e-03, -9.27176792e-03, -1.29918149e-02, -1.68035664e-02,
-7.38029275e-03, 7.77802605e-04, -1.91920809e-02, -9.96711664e-03,
-1.47435600e-02, -2.50864532e-02, -1.56702753e-02, -2.38369480e-02,
7.25520402e-03, -7.60930218e-03, -1.09761339e-02, -8.58030253e-05,
1.54073571e-03, 1.31304003e-02, -1.42036453e-02, -1.68870371e-02,
-1.73630752e-02, -1.31096225e-02, -5.15009603e-03, -1.82504449e-02,
-1.95732992e-02, -1.97531693e-02, -5.72340982e-03, -3.92987952e-03,
-3.11556719e-02, 8.12868495e-03, -1.19419871e-02, -1.68736409e-02,
-2.22686259e-03, -2.54015345e-02, -1.72876101e-02, -1.44470725e-02],
dtype=float32), array([0.01070192, 0.00704853, 0.00876155, 0.00835208, 0.00837269,
0.00708035, 0.00839563, 0.0083184 , 0.00962877, 0.00759301,
0.0082731 , 0.00755223, 0.00742316, 0.00846596, 0.00803631,
0.00867997, 0.00877386, 0.00821114, 0.00813471, 0.0085466 ,
0.00814837, 0.00887686, 0.00943514, 0.01042216, 0.00712607,
0.00884869, 0.00788517, 0.00882616, 0.00953425, 0.00787377,
0.00845322, 0.00975208, 0.00749356, 0.00792709, 0.00971246,
0.00769791, 0.00718404, 0.00776214, 0.0084802 , 0.00743967,
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0.00948492, 0.01076052, 0.00882631, 0.00789958, 0.00803904,
0.00740966, 0.0087412 , 0.01028954, 0.0089863 , 0.00936415,
0.0079996 , 0.00863595, 0.00879541, 0.00802728, 0.00732302,
0.01440413, 0.00936321, 0.00820534, 0.00787349, 0.00777468,
0.00745727, 0.00746274, 0.00796844, 0.00829899, 0.00733165,
0.00739947, 0.00748883, 0.0082523 , 0.00899759, 0.00818749,
0.0085432 , 0.00845806, 0.0078319 , 0.00734673, 0.00843414,
0.00807022, 0.00782261, 0.00907235, 0.0076306 , 0.0113758 ,
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0.00800341, 0.00793107, 0.0126637 , 0.00747606, 0.00876475,
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0.00879105, 0.00836069, 0.01057035, 0.00816632, 0.00807389,
0.00820032, 0.01095204, 0.00898378, 0.00754036, 0.00903274,
0.00976406, 0.00905269, 0.00699221, 0.009349 , 0.0075446 ,
0.00993417, 0.00801629, 0.00994577, 0.00834422, 0.00959332,
0.00733929, 0.00735324, 0.00824938, 0.01099711, 0.00854047,
0.00821547, 0.00781737, 0.00821157, 0.00863577, 0.007992 ,
0.00790293, 0.00839146, 0.00758337, 0.00855505, 0.01109737,
0.00914283, 0.00969734, 0.00806434, 0.00949681, 0.00892792,
0.00828244, 0.00874436, 0.00863214, 0.00888017, 0.0076711 ,
0.00934753, 0.00775281, 0.00872401, 0.00904982, 0.00797923,
0.01437691, 0.00871652, 0.00986918, 0.00939742, 0.01522851,
0.01151624, 0.00793768, 0.00777986, 0.00887553, 0.00787766,
0.00752654, 0.01347684, 0.00855442, 0.01106226, 0.00880642,
0.00824135, 0.00815713, 0.00878365, 0.00782546, 0.00859166,
0.00966555, 0.00947881, 0.00827723, 0.00914911, 0.00864748,
0.01470814, 0.00803463, 0.01003375, 0.00928078, 0.00708699,
0.00933026, 0.00956582, 0.0104649 , 0.01208247, 0.0105683 ,
0.00925349, 0.00959164, 0.00880491, 0.01378373, 0.00899246,
0.00956089, 0.00833221, 0.00831425, 0.00799893, 0.00897678,
0.00766801, 0.00796241, 0.01603643, 0.0077577 , 0.00858769,
0.00946065, 0.00977195, 0.00866478, 0.00814585, 0.00793569,
0.01121837, 0.0094274 , 0.00775975, 0.00785755, 0.00971042,
0.00785428, 0.00854115, 0.0118112 , 0.009512 , 0.00916409,
0.01016655, 0.00835218, 0.00776484, 0.00784082, 0.00852919,
0.01003312, 0.00768283, 0.00917588, 0.00850396, 0.01013981,
0.01251629, 0.00841771, 0.00806511, 0.00795169, 0.01008931,
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0.00808307, 0.00955381, 0.00870904, 0.0086325 , 0.00787405,
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0.0103827 , 0.0082088 , 0.00771399, 0.00807147, 0.00967747,
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0.0084051 , 0.00921702, 0.00825039, 0.00858105, 0.00782525,
0.00870104, 0.00781238, 0.00760855, 0.00780132, 0.01255055,
0.01091636, 0.01302406, 0.01131622, 0.00856887, 0.00893229,
0.00993508, 0.0091978 , 0.00771284, 0.00816568, 0.00905984,
0.00762915, 0.00787914, 0.00813169, 0.00842014, 0.0085725 ,
0.00830602, 0.01194783, 0.00856804, 0.00799247, 0.00868702,
0.00797341, 0.00849622, 0.01518454, 0.0073278 , 0.00760447,
0.0112175 , 0.00874598, 0.00867419, 0.01430043, 0.00806762,
0.0091572 , 0.0090579 , 0.00946541, 0.00759873, 0.00915873,
0.00819847, 0.00852236, 0.00961713, 0.00729323, 0.0083267 ,
0.00896369, 0.0092926 , 0.0081422 , 0.00971915, 0.0085996 ,
0.00809757, 0.00797176, 0.00825255, 0.00962229, 0.01486686,
0.00856765, 0.00876653, 0.01147415, 0.0078754 , 0.00865179,
0.00797894, 0.00828094, 0.01102804, 0.00759684, 0.00880743,
0.00757819, 0.00905981, 0.01510495, 0.00750841, 0.00876562,
0.00778996, 0.00732987, 0.00823978, 0.00865997, 0.00888915,
0.00767695, 0.01121604, 0.00900351, 0.00843115, 0.00792369,
0.00867893, 0.0086486 , 0.00826034, 0.00949863, 0.00883473,
0.00872879, 0.00797397, 0.00848726, 0.01151385, 0.0088551 ,
0.00882482, 0.00819499, 0.00795272, 0.00812627, 0.00778154,
0.00875907, 0.00853731, 0.00766612, 0.00881946, 0.01353542,
0.00941258, 0.00925121, 0.00809748, 0.00735595, 0.00958815,
0.00943913, 0.00786553], dtype=float32), array([[[[-0.04456919, 0.06596047, 0.02734585, ..., -0.05523195,
-0.03898748, -0.00728486],
[ 0.00509285, 0.04247482, -0.02245931, ..., 0.00588176,
-0.06679426, 0.06175307],
[-0.01685324, 0.06192771, 0.06544229, ..., -0.08070672,
-0.00550539, -0.05678539],
...,
[-0.02272489, 0.02295626, 0.052332 , ..., 0.02942408,
0.00715213, 0.01086138],
[ 0.06788057, -0.01294631, -0.07623819, ..., 0.01952109,
0.00739784, 0.01527581],
[-0.01590813, 0.02306282, 0.0146091 , ..., 0.03596197,
0.03092908, -0.04975187]]]], dtype=float32), array([1.0309896, 1.0283196, 1.0142571, ..., 1.0111216, 1.025539 ,
1.0041507], dtype=float32), array([ 0.0122693 , 0.0477717 , -0.00916672, ..., 0.00944795,
0.00201776, 0.03645141], dtype=float32), array([-0.04489447, -0.34944534, -0.54552025, ..., -0.35823575,
0.12985046, -0.1941539 ], dtype=float32), array([0.1689419 , 0.2219669 , 0.15729302, ..., 0.25042593, 0.28443798,
0.3737484 ], dtype=float32), array([[[[-0.04581178],
[-0.01132456],
[ 0.0312352 ],
...,
[-0.00960175],
[-0.03557804],
[-0.03133814]],
[[ 0.05271244],
[-0.04157175],
[-0.02554474],
...,
[-0.03747858],
[ 0.02879379],
[ 0.00645024]],
[[-0.03809835],
[ 0.00900023],
[ 0.0178722 ],
...,
[-0.02148643],
[ 0.02407349],
[ 0.0062594 ]]],
[[[-0.03425085],
[ 0.02358079],
[-0.03514521],
...,
[ 0.01491538],
[-0.01051935],
[ 0.02245147]],
[[-0.02009397],
[-0.00218562],
[-0.02755472],
...,
[-0.01137833],
[-0.03324026],
[-0.02571724]],
[[ 0.00373313],
[-0.03747436],
[-0.00917107],
...,
[-0.02649587],
[ 0.02930556],
[ 0.0211284 ]]],
[[[ 0.03476874],
[-0.0219488 ],
[-0.0034703 ],
...,
[ 0.02554175],
[ 0.01225037],
[-0.02101663]],
[[-0.01700578],
[ 0.02698187],
[-0.0006611 ],
...,
[-0.00433649],
[-0.00769731],
[-0.05178922]],
[[-0.02123247],
[-0.01572622],
[-0.00403504],
...,
[ 0.03079108],
[-0.0671456 ],
[ 0.00544255]]]], dtype=float32), array([1.0302479, 1.033273 , 1.012755 , ..., 1.0112175, 1.0270673,
1.0073359], dtype=float32), array([ 1.0312928e-02, -3.1298667e-03, 1.5235030e-02, ...,
-8.2091850e-05, 4.6979625e-02, 2.2130530e-02], dtype=float32), array([-0.02313532, -0.02408328, -0.01470176, ..., -0.01560795,
-0.02234524, -0.02058726], dtype=float32), array([0.00918442, 0.0078933 , 0.00774027, ..., 0.00787406, 0.00968734,
0.00871806], dtype=float32), array([[[[-0.01376945, -0.0370395 , 0.00418071, ..., 0.00810318,
-0.00857445, -0.07651302],
[ 0.02268407, 0.05404049, 0.0224194 , ..., -0.00962178,
0.01877457, -0.01554693],
[ 0.01093589, 0.03494577, -0.06114794, ..., 0.02757071,
-0.01190057, -0.05982756],
...,
[ 0.03080108, 0.05010536, 0.04055557, ..., -0.05784966,
0.02721333, -0.02908299],
[ 0.02846921, -0.01108154, -0.0401443 , ..., 0.02696306,
-0.00105396, -0.05985061],
[ 0.00688862, -0.01102976, 0.02746428, ..., -0.04527574,
0.03127968, -0.05240337]]]], dtype=float32), array([0.99011683, 0.96057004, 0.9925837 , ..., 0.9897202 , 0.9741873 ,
0.984994 ], dtype=float32), array([-0.00489925, -0.03587189, -0.00314841, ..., -0.00750572,
-0.02370118, -0.01215337], dtype=float32), array([0.03918162, 0.31611937, 0.1552397 , ..., 0.67580676, 0.0842531 ,
0.0150525 ], dtype=float32), array([0.32479995, 0.38693807, 0.38293874, ..., 0.46354455, 0.27249575,
0.47687626], dtype=float32), array([[ 0.00188276, -0.05170051],
[ 0.03894642, 0.03691233],
[ 0.01212961, -0.05610387],
...,
[ 0.03789616, 0.0020443 ],
[-0.00614871, -0.00109564],
[-0.00230215, 0.05650698]], dtype=float32), array([ 0.00458599, -0.004586 ], dtype=float32)]
weights_of_Inception = members[1].get_weights()
print(weights_of_Inception)
[array([[[[ 0.05001403, -0.08404427, -0.12928762, 0.01997367,
0.09671957, -0.06124135, 0.04189337, -0.01883661,
-0.01188476, -0.10634331, 0.07826533, 0.00500879,
-0.10053271, -0.06170962, -0.14212444, -0.02980095,
-0.0515077 , -0.12389146, 0.11510424, 0.09058365,
-0.13225046, 0.070985 , -0.03192156, 0.04066586,
0.09900218, 0.10432072, -0.07891849, 0.08516747,
-0.04428835, -0.10583081, 0.0087005 , 0.07391702],
[ 0.1253202 , 0.05151203, 0.0031286 , 0.10781213,
0.08362129, -0.14174454, -0.12727389, 0.06948912,
0.04870854, 0.06740022, -0.12189879, 0.05225517,
0.05244799, 0.06254877, 0.11858 , 0.0841798 ,
-0.14306974, 0.04092298, -0.09082153, -0.07433204,
-0.0339638 , 0.0465165 , -0.08232566, 0.13238244,
-0.10841707, 0.067738 , 0.10280099, 0.00884002,
0.11785131, 0.07585137, 0.05809103, 0.00049599],
[-0.00682301, 0.0696028 , -0.12872848, -0.01884271,
0.0977573 , -0.02361584, -0.12038442, 0.13308458,
0.0591577 , -0.09837029, -0.04687099, -0.10833323,
-0.13169383, 0.03061853, -0.0632454 , -0.07428088,
-0.08966576, 0.09382155, 0.08271617, 0.07779171,
0.04821294, 0.07034416, -0.01506209, -0.05013636,
-0.06850084, -0.0018277 , 0.13561173, -0.12775773,
-0.12764639, -0.1007582 , 0.06632941, -0.14309251]],
[[ 0.12504207, -0.03901382, -0.02990786, -0.12496476,
0.08103688, -0.11512125, 0.05397363, 0.02783978,
0.10647905, -0.06645985, -0.00540708, 0.03761332,
-0.09198507, -0.07411625, 0.04335581, -0.11243889,
0.07885464, -0.1156119 , 0.0905093 , 0.0715599 ,
-0.10649067, -0.08208719, -0.06137238, 0.08993849,
0.12770933, 0.12861478, 0.01908636, -0.14351724,
-0.03972133, -0.12545018, 0.10601445, 0.07246029],
[ 0.08848929, 0.06554797, -0.11372914, 0.10219435,
0.13971929, 0.10297532, 0.0193314 , 0.01375002,
-0.02892682, 0.04692043, -0.05833901, -0.04523238,
0.10217151, -0.08226506, -0.01869557, 0.07077126,
-0.07364992, 0.08262726, -0.09271599, 0.0695491 ,
-0.08596362, -0.13587007, -0.11489011, 0.03639224,
0.12605153, -0.11728331, -0.06594002, -0.03847039,
-0.11264347, 0.0082049 , 0.12360984, 0.06554027],
[ 0.08555238, 0.04122629, 0.07189797, -0.02682104,
0.07930718, 0.0334197 , 0.10529389, 0.12111671,
-0.08918785, -0.02215262, -0.07185916, -0.00979468,
-0.03241903, 0.01153427, -0.01510578, -0.06511504,
-0.08696572, 0.00705304, -0.04492279, 0.00687735,
0.10212443, 0.03990071, -0.01797672, 0.02853043,
-0.01062384, 0.03529139, 0.06296036, 0.0117858 ,
0.05267713, -0.06079439, 0.10553421, -0.07484406]],
[[ 0.1294163 , 0.13175417, -0.0806832 , -0.13123664,
0.0142971 , 0.09435797, -0.04283363, -0.12506911,
0.09718765, 0.06444521, -0.02586058, -0.07359043,
0.0930139 , 0.10195431, -0.0818033 , 0.12166782,
-0.11492533, 0.07469942, 0.05574265, 0.1395463 ,
0.11176679, 0.04256872, -0.05654236, 0.07012526,
-0.06394782, 0.11579303, -0.03530041, -0.11316463,
-0.08176446, 0.06244205, -0.00994485, 0.01639265],
[ 0.04357307, 0.08012231, -0.06968357, -0.09258334,
-0.02515639, 0.07387807, -0.06736895, -0.09866785,
0.06021139, 0.06864798, -0.0962012 , -0.02456097,
0.01621952, 0.04687588, -0.03742072, -0.09065626,
-0.05628946, -0.09529576, 0.01166561, 0.14460887,
-0.0255145 , -0.09749985, -0.05052647, -0.07922491,
0.09904857, -0.00845166, -0.05974889, 0.11339401,
-0.0597317 , -0.04857253, -0.02814135, -0.0066657 ],
[ 0.0370184 , -0.08435465, -0.10666618, 0.04145589,
-0.12995957, 0.0910522 , -0.1088091 , 0.04580457,
0.0701194 , 0.08838973, -0.07307665, -0.09728301,
-0.05919793, -0.04965879, 0.13566643, -0.10476615,
-0.11802418, 0.01363418, -0.04030026, -0.0195242 ,
0.04357117, 0.00394295, 0.09614649, -0.09240172,
0.11927277, 0.00576859, -0.10853216, 0.10628048,
-0.09355675, -0.13464408, -0.05191011, -0.04478338]]],
[[[ 0.11851073, -0.01433491, 0.02145288, -0.05097065,
0.11817513, -0.01833662, -0.1220135 , -0.14897834,
0.06472461, -0.10595636, -0.09531742, -0.07039778,
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[-0.04367645, -0.0157644 ],
[ 0.0151519 , -0.03705083],
...,
[ 0.03446497, 0.04214482],
[-0.02981261, -0.03264079],
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weights_of_Xception = members[2].get_weights()
print(weights_of_Xception)
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# # np.concatenate(weights_of_MobileNet,weights_of_Inception)
# # using naive method to concat
# for i in weights_of_Inception :
# weights_of_MobileNet.append(i)
# # weights_of_MobileNet_and_Inception = weights_of_MobileNet.append(weights_of_Inception)
# print("weights_of_MobileNet_and_Inception: ")
# print(weights_of_MobileNet)
# # np.concatenate(weights_of_MobileNet,weights_of_Inception)
# # using naive method to concat
# for i in weights_of_Xception :
# weights_of_MobileNet.append(i)
# # weights_of_MobileNet_and_Inception = weights_of_MobileNet.append(weights_of_Inception)
# print("weights_of_MobileNet_and_Inception: ")
# print(weights_of_MobileNet)
print(type(weights_of_MobileNet))
<class 'list'>
weights_of_MobileNet_and_Inception = np.concatenate((weights_of_MobileNet[0], weights_of_Inception[0]))
print(type(weights_of_MobileNet_and_Inception))
<class 'numpy.ndarray'>
print(weights_of_MobileNet_and_Inception.shape)
(6, 3, 3, 32)
weights_of_MobileNet_Inception_and_Xception = c = np.concatenate((weights_of_MobileNet_and_Inception, weights_of_Xception[0])) #np.stack((weights_of_MobileNet_and_Inception,b), axis=3)
print(type(weights_of_MobileNet_Inception_and_Xception))
print(weights_of_MobileNet_Inception_and_Xception.shape)
<class 'numpy.ndarray'> (9, 3, 3, 32)
# serialize model to JSON
model_weights_for_json = ensemble_model.to_json()
with open("/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.json", "w") as json_file:
json_file.write(model_weights_for_json)
# serialize weights to HDF5
ensemble_model.save_weights("/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5")
print("Saved model to disk")
Saved model to disk
# #create a model from the weights of multiple models
# def model_weight_ensemble(members, weights):
# #determine how many layers need to be averaged
# n_layers = len(members[0].get_weights())
# print("No. of Layers which need to be averaged: ")
# print(n_layers)
# print("The weights of the Member 0 are: ")
# print(members[0].get_weights())
# # avg_model_weights = list()
# # for weight in weights:
# # weight = float(weight)
# # for layer in range(n_layers):
# # #collect this layer from each model
# # layer_weights = array([model.get_weights()[layer] for model in members])
# # # weighted average of weights for this layer
# # avg_layer_weights = average(layer_weights, axis = 0, weights=weights)
# # #store average layer weights
# # avg_model_weights.append(avg_layer_weights)
# # # create a new model with the same structure
# # model = clone_model(members[0])
# # # set the weights in the new
# # model.set_weights(avg_model_weights)
# # model.compile(loss='categorical_crossentropy', optimizer='adam', metrics=['accuracy'])
# return model
# create a new model with the weighted average of all model weights
# new_model = model_weight_ensemble(members, weights)
# new_model
# # summarize the created model
# new_model.summary()
# Compute test set predictions
NUMBER_TEST_SAMPLES_Ensemble = 150
y_true_Ensemble = valid_targets[:NUMBER_TEST_SAMPLES_Ensemble]
y_score_Ensemble = []
for index in range(NUMBER_TEST_SAMPLES_Ensemble): #compute one at a time due to memory constraints
image_to_predict_Ensemble = path_to_tensor(validation_files[index]).astype("float32")/255.
probs_Ensemble = ensemble_model.predict(image_to_predict_Ensemble,)
if np.argmax(probs_Ensemble) == 0:
y_score_Ensemble.append([1., 0.])
elif np.argmax(probs_Ensemble) == 1:
y_score_Ensemble.append([0., 1.])
print("Predicted value {}... ".format(index+1) + " Melanoma : ", probs_Ensemble[0][0], " | Other : ", probs_Ensemble[0][1])
print("Real values {}...".format(index+1) + " Melanoma : ", valid_targets[index][0], " | Other : ", valid_targets[index][1])
print("---------------------------------------------------------------------------")
correct_Ensemble = np.array(y_true_Ensemble) == np.array(y_score_Ensemble)
Predicted value 1... Melanoma : 0.7946493 | Other : 0.20535073 Real values 1... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 2... Melanoma : 0.79446805 | Other : 0.20553192 Real values 2... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 3... Melanoma : 0.79421806 | Other : 0.20578192 Real values 3... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 4... Melanoma : 0.7943096 | Other : 0.20569041 Real values 4... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 5... Melanoma : 0.79384565 | Other : 0.20615439 Real values 5... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 6... Melanoma : 0.7982955 | Other : 0.20170449 Real values 6... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 7... Melanoma : 0.79406905 | Other : 0.20593093 Real values 7... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 8... Melanoma : 0.7938037 | Other : 0.2061963 Real values 8... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 9... Melanoma : 0.79388565 | Other : 0.20611438 Real values 9... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 10... Melanoma : 0.7936238 | Other : 0.20637628 Real values 10... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 11... Melanoma : 0.7934489 | Other : 0.20655107 Real values 11... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 12... Melanoma : 0.79373074 | Other : 0.20626931 Real values 12... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 13... Melanoma : 0.79341 | Other : 0.20659003 Real values 13... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 14... Melanoma : 0.79339164 | Other : 0.20660836 Real values 14... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 15... Melanoma : 0.7939805 | Other : 0.20601958 Real values 15... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 16... Melanoma : 0.78891885 | Other : 0.21108115 Real values 16... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 17... Melanoma : 0.7935034 | Other : 0.20649666 Real values 17... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 18... Melanoma : 0.7938964 | Other : 0.20610368 Real values 18... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 19... Melanoma : 0.7949728 | Other : 0.20502728 Real values 19... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 20... Melanoma : 0.79034805 | Other : 0.20965193 Real values 20... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 21... Melanoma : 0.7955109 | Other : 0.20448916 Real values 21... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 22... Melanoma : 0.76713884 | Other : 0.2328612 Real values 22... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 23... Melanoma : 0.7934717 | Other : 0.20652834 Real values 23... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 24... Melanoma : 0.82934296 | Other : 0.17065704 Real values 24... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 25... Melanoma : 0.7440462 | Other : 0.25595382 Real values 25... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 26... Melanoma : 0.7931649 | Other : 0.20683515 Real values 26... Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Predicted value 27... Melanoma : 0.7935525 | Other : 0.20644751 Real values 27... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 28... Melanoma : 0.79016924 | Other : 0.20983073 Real values 28... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 29... Melanoma : 0.7936482 | Other : 0.20635182 Real values 29... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 30... Melanoma : 0.7932641 | Other : 0.20673595 Real values 30... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 31... Melanoma : 0.7814226 | Other : 0.21857744 Real values 31... Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Predicted value 32... Melanoma : 0.8295269 | Other : 0.17047307 Real values 32... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 33... Melanoma : 0.8297872 | Other : 0.1702128 Real values 33... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 34... Melanoma : 0.7931062 | Other : 0.20689383 Real values 34... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 35... Melanoma : 0.77920246 | Other : 0.22079754 Real values 35... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 36... Melanoma : 0.79415584 | Other : 0.20584413 Real values 36... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 37... Melanoma : 0.79333943 | Other : 0.20666057 Real values 37... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 38... Melanoma : 0.793751 | Other : 0.20624898 Real values 38... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 39... Melanoma : 0.79395187 | Other : 0.20604818 Real values 39... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 40... Melanoma : 0.7938254 | Other : 0.20617461 Real values 40... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 41... Melanoma : 0.775681 | Other : 0.22431898 Real values 41... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 42... Melanoma : 0.79402065 | Other : 0.20597939 Real values 42... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 43... Melanoma : 0.79353607 | Other : 0.20646402 Real values 43... Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Predicted value 44... Melanoma : 0.7828617 | Other : 0.21713826 Real values 44... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 45... Melanoma : 0.7817323 | Other : 0.21826774 Real values 45... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 46... Melanoma : 0.79423374 | Other : 0.20576625 Real values 46... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 47... Melanoma : 0.79393816 | Other : 0.20606183 Real values 47... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 48... Melanoma : 0.7936143 | Other : 0.2063857 Real values 48... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 49... Melanoma : 0.7941241 | Other : 0.20587584 Real values 49... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 50... Melanoma : 0.78242064 | Other : 0.21757933 Real values 50... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 51... Melanoma : 0.7940129 | Other : 0.20598713 Real values 51... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 52... Melanoma : 0.77770734 | Other : 0.22229266 Real values 52... Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Predicted value 53... Melanoma : 0.7936019 | Other : 0.20639817 Real values 53... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 54... Melanoma : 0.79331326 | Other : 0.20668676 Real values 54... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 55... Melanoma : 0.79419124 | Other : 0.20580882 Real values 55... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 56... Melanoma : 0.79330814 | Other : 0.2066919 Real values 56... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 57... Melanoma : 0.7935462 | Other : 0.20645377 Real values 57... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 58... Melanoma : 0.79437876 | Other : 0.20562124 Real values 58... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 59... Melanoma : 0.77097934 | Other : 0.22902071 Real values 59... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 60... Melanoma : 0.8296695 | Other : 0.17033057 Real values 60... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 61... Melanoma : 0.7950589 | Other : 0.20494112 Real values 61... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 62... Melanoma : 0.7878059 | Other : 0.21219413 Real values 62... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 63... Melanoma : 0.8297818 | Other : 0.17021821 Real values 63... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 64... Melanoma : 0.77977 | Other : 0.22023004 Real values 64... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 65... Melanoma : 0.7932207 | Other : 0.2067793 Real values 65... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 66... Melanoma : 0.7945665 | Other : 0.20543347 Real values 66... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 67... Melanoma : 0.7930357 | Other : 0.20696437 Real values 67... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 68... Melanoma : 0.793774 | Other : 0.20622599 Real values 68... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 69... Melanoma : 0.7944595 | Other : 0.20554046 Real values 69... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 70... Melanoma : 0.7926153 | Other : 0.20738468 Real values 70... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 71... Melanoma : 0.79388654 | Other : 0.2061135 Real values 71... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 72... Melanoma : 0.782694 | Other : 0.21730608 Real values 72... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 73... Melanoma : 0.7939943 | Other : 0.20600578 Real values 73... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 74... Melanoma : 0.79323673 | Other : 0.20676325 Real values 74... Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Predicted value 75... Melanoma : 0.8066156 | Other : 0.19338445 Real values 75... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 76... Melanoma : 0.7931875 | Other : 0.2068125 Real values 76... Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Predicted value 77... Melanoma : 0.79409736 | Other : 0.20590267 Real values 77... Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Predicted value 78... Melanoma : 0.7939528 | Other : 0.2060472 Real values 78... Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Predicted value 79... Melanoma : 0.7939517 | Other : 0.2060484 Real values 79... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 80... Melanoma : 0.79284567 | Other : 0.20715433 Real values 80... Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Predicted value 81... Melanoma : 0.79494065 | Other : 0.20505938 Real values 81... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 82... Melanoma : 0.7937161 | Other : 0.20628399 Real values 82... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 83... Melanoma : 0.7932672 | Other : 0.20673287 Real values 83... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 84... Melanoma : 0.7939741 | Other : 0.20602587 Real values 84... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 85... Melanoma : 0.79367584 | Other : 0.20632416 Real values 85... Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Predicted value 86... Melanoma : 0.7937097 | Other : 0.2062903 Real values 86... Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Predicted value 87... Melanoma : 0.783745 | Other : 0.21625504 Real values 87... Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Predicted value 88... Melanoma : 0.7722322 | Other : 0.22776791 Real values 88... Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Predicted value 89... Melanoma : 0.7941396 | Other : 0.20586036 Real values 89... Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Predicted value 90... Melanoma : 0.8297133 | Other : 0.17028676 Real values 90... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 91... Melanoma : 0.79548407 | Other : 0.20451596 Real values 91... Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Predicted value 92... Melanoma : 0.81564283 | Other : 0.18435723 Real values 92... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 93... Melanoma : 0.794963 | Other : 0.20503698 Real values 93... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 94... Melanoma : 0.82975984 | Other : 0.17024016 Real values 94... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 95... Melanoma : 0.79429877 | Other : 0.20570128 Real values 95... Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Predicted value 96... Melanoma : 0.75853723 | Other : 0.24146281 Real values 96... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 97... Melanoma : 0.8297259 | Other : 0.17027408 Real values 97... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 98... Melanoma : 0.79384613 | Other : 0.20615387 Real values 98... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 99... Melanoma : 0.7933082 | Other : 0.20669179 Real values 99... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 100... Melanoma : 0.7933488 | Other : 0.2066512 Real values 100... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 101... Melanoma : 0.793672 | Other : 0.206328 Real values 101... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 102... Melanoma : 0.79405963 | Other : 0.20594037 Real values 102... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 103... Melanoma : 0.77064764 | Other : 0.22935241 Real values 103... Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Predicted value 104... Melanoma : 0.8146641 | Other : 0.1853359 Real values 104... Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Predicted value 105... Melanoma : 0.7939967 | Other : 0.2060033 Real values 105... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 106... Melanoma : 0.79341835 | Other : 0.20658168 Real values 106... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 107... Melanoma : 0.7954488 | Other : 0.2045512 Real values 107... Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Predicted value 108... Melanoma : 0.75588673 | Other : 0.2441133 Real values 108... Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Predicted value 109... Melanoma : 0.7926159 | Other : 0.20738408 Real values 109... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 110... Melanoma : 0.7637703 | Other : 0.23622975 Real values 110... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 111... Melanoma : 0.7849947 | Other : 0.21500532 Real values 111... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 112... Melanoma : 0.7848618 | Other : 0.21513818 Real values 112... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 113... Melanoma : 0.794598 | Other : 0.20540199 Real values 113... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 114... Melanoma : 0.7946787 | Other : 0.20532136 Real values 114... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 115... Melanoma : 0.795012 | Other : 0.20498799 Real values 115... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 116... Melanoma : 0.7963065 | Other : 0.20369357 Real values 116... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 117... Melanoma : 0.77428377 | Other : 0.2257163 Real values 117... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 118... Melanoma : 0.790096 | Other : 0.20990402 Real values 118... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 119... Melanoma : 0.79647654 | Other : 0.20352346 Real values 119... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 120... Melanoma : 0.7847605 | Other : 0.21523951 Real values 120... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 121... Melanoma : 0.79686016 | Other : 0.20313984 Real values 121... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 122... Melanoma : 0.78795373 | Other : 0.21204633 Real values 122... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 123... Melanoma : 0.77808875 | Other : 0.22191124 Real values 123... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 124... Melanoma : 0.7940876 | Other : 0.2059124 Real values 124... Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Predicted value 125... Melanoma : 0.79670763 | Other : 0.20329231 Real values 125... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 126... Melanoma : 0.7795569 | Other : 0.22044319 Real values 126... Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Predicted value 127... Melanoma : 0.7960228 | Other : 0.20397723 Real values 127... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 128... Melanoma : 0.8094191 | Other : 0.19058095 Real values 128... Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Predicted value 129... Melanoma : 0.7946817 | Other : 0.20531833 Real values 129... Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Predicted value 130... Melanoma : 0.7952275 | Other : 0.20477252 Real values 130... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 131... Melanoma : 0.7913198 | Other : 0.20868024 Real values 131... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 132... Melanoma : 0.77038074 | Other : 0.22961926 Real values 132... Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Predicted value 133... Melanoma : 0.7936033 | Other : 0.20639674 Real values 133... Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Predicted value 134... Melanoma : 0.7937984 | Other : 0.20620164 Real values 134... Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Predicted value 135... Melanoma : 0.8228366 | Other : 0.17716348 Real values 135... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 136... Melanoma : 0.7932342 | Other : 0.20676583 Real values 136... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 137... Melanoma : 0.79396814 | Other : 0.2060319 Real values 137... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 138... Melanoma : 0.7947593 | Other : 0.20524071 Real values 138... Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Predicted value 139... Melanoma : 0.7710347 | Other : 0.22896531 Real values 139... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 140... Melanoma : 0.7929396 | Other : 0.20706044 Real values 140... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 141... Melanoma : 0.7936098 | Other : 0.2063902 Real values 141... Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Predicted value 142... Melanoma : 0.7951159 | Other : 0.20488411 Real values 142... Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Predicted value 143... Melanoma : 0.79334015 | Other : 0.2066599 Real values 143... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 144... Melanoma : 0.79386103 | Other : 0.20613906 Real values 144... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 145... Melanoma : 0.7939822 | Other : 0.20601782 Real values 145... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 146... Melanoma : 0.7945866 | Other : 0.20541345 Real values 146... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 147... Melanoma : 0.79402375 | Other : 0.20597628 Real values 147... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 148... Melanoma : 0.79495686 | Other : 0.20504317 Real values 148... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 149... Melanoma : 0.79328007 | Other : 0.20671998 Real values 149... Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Predicted value 150... Melanoma : 0.7937859 | Other : 0.2062141 Real values 150... Melanoma : 1.0 | Other : 0.0 ---------------------------------------------------------------------------
print("Accuracy = %2.2f%%" % (np.mean(correct_Ensemble)*100))
Accuracy = 80.00%
image_to_predict_Ensemble = path_to_tensor("/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Output_melanoma/ISIC_0000000_180_angle_flipped.jpg").astype('float32')/255.
ensemble_model.predict(image_to_predict_Ensemble)
array([[0.7931409 , 0.20685914]], dtype=float32)
def predict_ensemble(img_path,
model_architecture = model_architecture,
path_model_weight = weight_path):
# Printing the information passed to the Predict Function
print("Image Path: ")
print(img_path)
print("Arhitecture Used:")
print(model_architecture)
print("Path for Model Weights: ")
print(path_model_weight)
# Getting the tensor of image
image_to_predict = path_to_tensor(img_path).astype('float32')/255
# Getting the model's architecture
model = model_architecture
# Loading the weights
model.load_weights(path_model_weight)
# printing the weights
print("Model Weights: ")
print(model.load_weights(path_model_weight))
# Predicting
pred = model.predict(image_to_predict)
print("Prediction..." + " Melanoma : ", pred[0][0], " | Other : ", pred[0][1])
predict_0_0 = pred[0][0]
predict_0_1 = pred[0][1]
if np.argmax(pred) == 0:
return [1., 0.]
elif np.argmax(pred) == 1:
return [0., 1.]
# Compute test set predictions
#model_architecture,path_model_weight
NUMBER_TEST_SAMPLES_Ensemble = 150
all_weights_combined_as_list = weights_of_MobileNet_Inception_and_Xception
y_true_Ensemble = valid_targets[:NUMBER_TEST_SAMPLES_Ensemble]
y_score_Ensemble = []
for index in range(NUMBER_TEST_SAMPLES_Ensemble): #compute one at a time due to memory constraints
probs_Ensemble = predict_ensemble(img_path = validation_files[index], model_architecture = ensemble_model, path_model_weight = "/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5")
print("Real values {}...".format(index+1) + "Melanoma : ", valid_targets[index][0], " | Other : ", valid_targets[index][1])
print("---------------------------------------------------------------------------")
y_score_Ensemble.append(probs_Ensemble)
correct_Ensemble = np.array(y_true_Ensemble) == np.array(y_score_Ensemble)
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0004337.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7946493 | Other : 0.20535073 Real values 1...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0001769.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.79446805 | Other : 0.20553192 Real values 2...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0003582.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.79421806 | Other : 0.20578192 Real values 3...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0003539.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7943096 | Other : 0.20569041 Real values 4...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0003805.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.79384565 | Other : 0.20615439 Real values 5...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0006651.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7982955 | Other : 0.20170449 Real values 6...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0001852.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.79406905 | Other : 0.20593093 Real values 7...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0003657.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7938037 | Other : 0.2061963 Real values 8...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0003462.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.79388565 | Other : 0.20611438 Real values 9...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0001871.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7936238 | Other : 0.20637628 Real values 10...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0007241.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7934489 | Other : 0.20655107 Real values 11...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0006815.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.79373074 | Other : 0.20626931 Real values 12...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0006914.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.79341 | Other : 0.20659003 Real values 13...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0007141.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.79339164 | Other : 0.20660836 Real values 14...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0007344.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7939805 | Other : 0.20601958 Real values 15...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0007235.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.78891885 | Other : 0.21108115 Real values 16...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0007796.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7935034 | Other : 0.20649666 Real values 17...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0008025.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7938964 | Other : 0.20610368 Real values 18...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0008524.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7949728 | Other : 0.20502728 Real values 19...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0007528.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.79034805 | Other : 0.20965193 Real values 20...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0007156.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7955109 | Other : 0.20448916 Real values 21...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0007332.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.76713884 | Other : 0.2328612 Real values 22...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0006671.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7934717 | Other : 0.20652834 Real values 23...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0010459.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.82934296 | Other : 0.17065704 Real values 24...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012099.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7440462 | Other : 0.25595382 Real values 25...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012126.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7931649 | Other : 0.20683515 Real values 26...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012160.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7935525 | Other : 0.20644751 Real values 27...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0009995.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.79016924 | Other : 0.20983073 Real values 28...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012127.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7936482 | Other : 0.20635182 Real values 29...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012151.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7932641 | Other : 0.20673595 Real values 30...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012204.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7814226 | Other : 0.21857744 Real values 31...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012143.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.8295269 | Other : 0.17047307 Real values 32...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012191.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.8297872 | Other : 0.1702128 Real values 33...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012109.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7931062 | Other : 0.20689383 Real values 34...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012159.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.77920246 | Other : 0.22079754 Real values 35...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012201.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.79415584 | Other : 0.20584413 Real values 36...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012316.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.79333943 | Other : 0.20666057 Real values 37...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012306.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.793751 | Other : 0.20624898 Real values 38...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012206.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.79395187 | Other : 0.20604818 Real values 39...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012313.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7938254 | Other : 0.20617461 Real values 40...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012380.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.775681 | Other : 0.22431898 Real values 41...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012256.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.79402065 | Other : 0.20597939 Real values 42...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012222.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.79353607 | Other : 0.20646402 Real values 43...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012335.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7828617 | Other : 0.21713826 Real values 44...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012383.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7817323 | Other : 0.21826774 Real values 45...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012221.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.79423374 | Other : 0.20576625 Real values 46...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012288.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.79393816 | Other : 0.20606183 Real values 47...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012254.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7936143 | Other : 0.2063857 Real values 48...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012210.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7941241 | Other : 0.20587584 Real values 49...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012876.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.78242064 | Other : 0.21757933 Real values 50...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012720.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7940129 | Other : 0.20598713 Real values 51...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012434.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.77770734 | Other : 0.22229266 Real values 52...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012538.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7936019 | Other : 0.20639817 Real values 53...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012684.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.79331326 | Other : 0.20668676 Real values 54...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012746.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.79419124 | Other : 0.20580882 Real values 55...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012417.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.79330814 | Other : 0.2066919 Real values 56...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012400.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7935462 | Other : 0.20645377 Real values 57...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012547.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.79437876 | Other : 0.20562124 Real values 58...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012513.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.77097934 | Other : 0.22902071 Real values 59...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012492.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.8296695 | Other : 0.17033057 Real values 60...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012660.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7950589 | Other : 0.20494112 Real values 61...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013082.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7878059 | Other : 0.21219413 Real values 62...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013132.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.8297818 | Other : 0.17021821 Real values 63...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013127.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.77977 | Other : 0.22023004 Real values 64...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013188.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7932207 | Other : 0.2067793 Real values 65...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012965.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7945665 | Other : 0.20543347 Real values 66...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012927.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7930357 | Other : 0.20696437 Real values 67...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012956.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.793774 | Other : 0.20622599 Real values 68...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013215.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7944595 | Other : 0.20554046 Real values 69...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013104.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7926153 | Other : 0.20738468 Real values 70...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013128.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.79388654 | Other : 0.2061135 Real values 71...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0012959.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.782694 | Other : 0.21730608 Real values 72...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013010.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7939943 | Other : 0.20600578 Real values 73...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013491.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.79323673 | Other : 0.20676325 Real values 74...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013549.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.8066156 | Other : 0.19338445 Real values 75...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013562.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7931875 | Other : 0.2068125 Real values 76...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013501.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.79409736 | Other : 0.20590267 Real values 77...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013232.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7939528 | Other : 0.2060472 Real values 78...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013637.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7939517 | Other : 0.2060484 Real values 79...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013632.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.79284567 | Other : 0.20715433 Real values 80...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013561.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.79494065 | Other : 0.20505938 Real values 81...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013518.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7937161 | Other : 0.20628399 Real values 82...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013527.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7932672 | Other : 0.20673287 Real values 83...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013421.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7939741 | Other : 0.20602587 Real values 84...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013644.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.79367584 | Other : 0.20632416 Real values 85...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013898.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7937097 | Other : 0.2062903 Real values 86...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013828.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.783745 | Other : 0.21625504 Real values 87...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013663.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7722322 | Other : 0.22776791 Real values 88...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013863.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7941396 | Other : 0.20586036 Real values 89...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013702.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.8297133 | Other : 0.17028676 Real values 90...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014037.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.79548407 | Other : 0.20451596 Real values 91...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013736.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.81564283 | Other : 0.18435723 Real values 92...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013651.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.794963 | Other : 0.20503698 Real values 93...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014038.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.82975984 | Other : 0.17024016 Real values 94...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013945.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.79429877 | Other : 0.20570128 Real values 95...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0013793.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.75853723 | Other : 0.24146281 Real values 96...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014211.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.8297259 | Other : 0.17027408 Real values 97...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014217.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.79384613 | Other : 0.20615387 Real values 98...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014428.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7933082 | Other : 0.20669179 Real values 99...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014178.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7933488 | Other : 0.2066512 Real values 100...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014382.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.793672 | Other : 0.206328 Real values 101...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014055.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.79405963 | Other : 0.20594037 Real values 102...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014310.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.77064764 | Other : 0.22935241 Real values 103...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014302.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.8146641 | Other : 0.1853359 Real values 104...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014139.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7939967 | Other : 0.2060033 Real values 105...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014212.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.79341835 | Other : 0.20658168 Real values 106...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014162.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7954488 | Other : 0.2045512 Real values 107...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014618.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.75588673 | Other : 0.2441133 Real values 108...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014610.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7926159 | Other : 0.20738408 Real values 109...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014601.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7637703 | Other : 0.23622975 Real values 110...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014620.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7849947 | Other : 0.21500532 Real values 111...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014616.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7848618 | Other : 0.21513818 Real values 112...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014623.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.794598 | Other : 0.20540199 Real values 113...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014572.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7946787 | Other : 0.20532136 Real values 114...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014558.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.795012 | Other : 0.20498799 Real values 115...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014624.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7963065 | Other : 0.20369357 Real values 116...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014633.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.77428377 | Other : 0.2257163 Real values 117...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014597.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.790096 | Other : 0.20990402 Real values 118...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014608.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.79647654 | Other : 0.20352346 Real values 119...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014611.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7847605 | Other : 0.21523951 Real values 120...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014568.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.79686016 | Other : 0.20313984 Real values 121...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014829.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.78795373 | Other : 0.21204633 Real values 122...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014635.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.77808875 | Other : 0.22191124 Real values 123...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014857.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7940876 | Other : 0.2059124 Real values 124...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014931.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.79670763 | Other : 0.20329231 Real values 125...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014809.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7795569 | Other : 0.22044319 Real values 126...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014637.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7960228 | Other : 0.20397723 Real values 127...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014712.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.8094191 | Other : 0.19058095 Real values 128...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014688.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7946817 | Other : 0.20531833 Real values 129...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014937.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7952275 | Other : 0.20477252 Real values 130...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014985.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7913198 | Other : 0.20868024 Real values 131...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014945.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.77038074 | Other : 0.22961926 Real values 132...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014989.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7936033 | Other : 0.20639674 Real values 133...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014946.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7937984 | Other : 0.20620164 Real values 134...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0014979.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.8228366 | Other : 0.17716348 Real values 135...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015124.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7932342 | Other : 0.20676583 Real values 136...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015243.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.79396814 | Other : 0.2060319 Real values 137...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015144.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7947593 | Other : 0.20524071 Real values 138...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015062.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7710347 | Other : 0.22896531 Real values 139...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015313.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7929396 | Other : 0.20706044 Real values 140...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015043.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7936098 | Other : 0.2063902 Real values 141...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015256.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7951159 | Other : 0.20488411 Real values 142...Melanoma : 0.0 | Other : 1.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015211.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.79334015 | Other : 0.2066599 Real values 143...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015443.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.79386103 | Other : 0.20613906 Real values 144...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015372.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7939822 | Other : 0.20601782 Real values 145...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015627.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7945866 | Other : 0.20541345 Real values 146...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015445.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.79402375 | Other : 0.20597628 Real values 147...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015401.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.79495686 | Other : 0.20504317 Real values 148...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015496.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.79328007 | Other : 0.20671998 Real values 149...Melanoma : 1.0 | Other : 0.0 --------------------------------------------------------------------------- Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Validation_Data/Data Image JPG/ISIC_0015483.jpg Arhitecture Used: <tensorflow.python.keras.engine.functional.Functional object at 0x7fb26a05cfd0> Path for Model Weights: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5 Model Weights: None Prediction... Melanoma : 0.7937859 | Other : 0.2062141 Real values 150...Melanoma : 1.0 | Other : 0.0 ---------------------------------------------------------------------------
print("Accuracy = %2.2f%%" % (np.mean(correct_Ensemble)*100))
Accuracy = 80.00%
# Re-ordering the actual y (for ROC)
y_true_2_Ensemble = []
for i in range(len(y_true_Ensemble)):
y_true_2_Ensemble.append(y_true_Ensemble[i][0])
# Re-ordering the predicte y (for ROC)
y_score_2_Ensemble = []
for i in range(len(y_score_Ensemble)):
y_score_2_Ensemble.append(y_score_Ensemble[i][0])
plot_roc(y_true_2_Ensemble, y_score_2_Ensemble)
def positive_negative_measurement(y_true, y_score):
# Initialization
TRUE_POSITIVE = 0
FALSE_POSITIVE = 0
TRUE_NEGATIVE = 0
FALSE_NEGATIVE = 0
# Calculating the model
for i in range(len(y_score)):
if y_true[i] == y_score[i] == 1:
TRUE_POSITIVE += 1
if (y_score[i] == 1) and (y_true[i] != y_score[i]):
FALSE_POSITIVE += 1
if y_true[i] == y_score[i] == 0:
TRUE_NEGATIVE += 1
if (y_score[i] == 0) and (y_true[i] != y_score[i]):
FALSE_NEGATIVE += 1
return(TRUE_POSITIVE, FALSE_POSITIVE, TRUE_NEGATIVE, FALSE_NEGATIVE)
TRUE_POSITIVE_Ensemble, FALSE_POSITIVE_Ensemble, TRUE_NEGATIVE_Ensemble, FALSE_NEGATIVE_Ensemble = positive_negative_measurement(y_true_2_Ensemble, y_score_2_Ensemble)
postives_negatives_Ensemble = [[TRUE_POSITIVE_Ensemble, FALSE_POSITIVE_Ensemble],
[FALSE_NEGATIVE_Ensemble, TRUE_NEGATIVE_Ensemble]]
sns.set()
labels_Ensemble = np.array([['True positive: ' + str(TRUE_POSITIVE_Ensemble),
'False positive: ' + str(FALSE_POSITIVE_Ensemble)],
['False negative: ' + str(FALSE_NEGATIVE_Ensemble),
'True negative: ' + str(TRUE_POSITIVE_Ensemble)]])
plt.figure(figsize = (13, 10))
sns.heatmap(postives_negatives_Ensemble, annot = labels_Ensemble, linewidths = 0.1, fmt="", cmap = 'RdYlGn')
<matplotlib.axes._subplots.AxesSubplot at 0x7fb268567210>
# Sensitivity | Recall | hit rate | true positive rate (TPR)
sensitivity_Ensemble = TRUE_POSITIVE_Ensemble / (TRUE_POSITIVE_Ensemble + FALSE_NEGATIVE_Ensemble)
print("Sensitivity: ", sensitivity_Ensemble)
Sensitivity: 1.0
# Specificity | selectivity | true negative rate (TNR)
try:
specifity_Ensemble = TRUE_NEGATIVE_Ensemble / (TRUE_NEGATIVE_Ensemble + FALSE_NEGATIVE_Ensemble)
print("Specifity: ", specifity_Ensemble)
except:
print("No Specificity due to NO NEGATIVE results.")
No Specificity due to NO NEGATIVE results.
# Precision | positive predictive value (PPV)
predcision_Ensemble = TRUE_POSITIVE_Ensemble / (TRUE_POSITIVE_Ensemble + FALSE_POSITIVE_Ensemble)
print("Precision: ", predcision_Ensemble)
Precision: 0.8
# Negative predictive value (NPV)
try:
npv_Ensemble = TRUE_NEGATIVE_Ensemble / (TRUE_NEGATIVE_Ensemble + FALSE_NEGATIVE_Ensemble)
print("Negative predictive value: ", npv_Ensemble)
except:
print("0 Negative Predictions")
0 Negative Predictions
# Accuracy
accuracy_Ensemble = (TRUE_POSITIVE_Ensemble + TRUE_NEGATIVE_Ensemble) / (TRUE_POSITIVE_Ensemble + FALSE_POSITIVE_Ensemble + TRUE_NEGATIVE_Ensemble + FALSE_NEGATIVE_Ensemble)
print("Accuracy: ", accuracy_Ensemble)
Accuracy: 0.8
Working Flowchart:
def compute_roc(y_true, y_score):
"""
Computing the "Receiving Operating Characteristic curve" and area
"""
false_positive_rate, true_positive_rate, thresholds = roc_curve(y_true, y_score)
auroc = auc(false_positive_rate, true_positive_rate)
return false_positive_rate, true_positive_rate, auroc
def plot_roc(y_true, y_score):
"""
Ploting the Receiving Operating Characteristic curve
"""
false_positive_rate, true_positive_rate, auroc = compute_roc(y_true, y_score)
plt.figure(figsize=(10,6))
plt.grid()
plt.plot(false_positive_rate,
true_positive_rate,
color='darkorange',
lw=2,
label='ROC curve (area = {:.2f})'.format(auroc))
plt.plot([0, 1], [0, 1], color='navy', lw=2, linestyle='--')
plt.xlim([0.0, 1.0])
plt.ylim([0.0, 1.05])
plt.xlabel('False Positive Rate', fontsize=12)
plt.ylabel('True Positive Rate', fontsize=12)
plt.title('Receiver operating characteristic example', fontsize=15)
plt.legend(loc="lower right", fontsize=14)
plt.show()
plt.style.available
['Solarize_Light2', '_classic_test_patch', 'bmh', 'classic', 'dark_background', 'fast', 'fivethirtyeight', 'ggplot', 'grayscale', 'seaborn', 'seaborn-bright', 'seaborn-colorblind', 'seaborn-dark', 'seaborn-dark-palette', 'seaborn-darkgrid', 'seaborn-deep', 'seaborn-muted', 'seaborn-notebook', 'seaborn-paper', 'seaborn-pastel', 'seaborn-poster', 'seaborn-talk', 'seaborn-ticks', 'seaborn-white', 'seaborn-whitegrid', 'tableau-colorblind10']
plt.style.use("seaborn-white")
print("No. of Files in Test Data")
print(len(test_files))
print("No. of Target Values in Test Data")
print(len(test_targets))
No. of Files in Test Data 600 No. of Target Values in Test Data 600
# Compute test set predictions
NUMBER_TEST_SAMPLES_MobileNet_Test = 600
mobilenet_architecture_function = mobilenet_architecture()
mobilenet_architecture_weight_path = "/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5"
y_true_MobileNet_Test = test_targets[:NUMBER_TEST_SAMPLES_MobileNet_Test]
print(y_true_MobileNet_Test)
Model: "model_12" _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= input_10 (InputLayer) [(None, 512, 512, 3)] 0 _________________________________________________________________ conv1 (Conv2D) (None, 256, 256, 32) 864 _________________________________________________________________ conv1_bn (BatchNormalization (None, 256, 256, 32) 128 _________________________________________________________________ conv1_relu (ReLU) (None, 256, 256, 32) 0 _________________________________________________________________ conv_dw_1 (DepthwiseConv2D) (None, 256, 256, 32) 288 _________________________________________________________________ conv_dw_1_bn (BatchNormaliza (None, 256, 256, 32) 128 _________________________________________________________________ conv_dw_1_relu (ReLU) (None, 256, 256, 32) 0 _________________________________________________________________ conv_pw_1 (Conv2D) (None, 256, 256, 64) 2048 _________________________________________________________________ conv_pw_1_bn (BatchNormaliza (None, 256, 256, 64) 256 _________________________________________________________________ conv_pw_1_relu (ReLU) (None, 256, 256, 64) 0 _________________________________________________________________ conv_pad_2 (ZeroPadding2D) (None, 257, 257, 64) 0 _________________________________________________________________ conv_dw_2 (DepthwiseConv2D) (None, 128, 128, 64) 576 _________________________________________________________________ conv_dw_2_bn (BatchNormaliza (None, 128, 128, 64) 256 _________________________________________________________________ conv_dw_2_relu (ReLU) (None, 128, 128, 64) 0 _________________________________________________________________ conv_pw_2 (Conv2D) (None, 128, 128, 128) 8192 _________________________________________________________________ conv_pw_2_bn (BatchNormaliza (None, 128, 128, 128) 512 _________________________________________________________________ conv_pw_2_relu (ReLU) (None, 128, 128, 128) 0 _________________________________________________________________ conv_dw_3 (DepthwiseConv2D) (None, 128, 128, 128) 1152 _________________________________________________________________ conv_dw_3_bn (BatchNormaliza (None, 128, 128, 128) 512 _________________________________________________________________ conv_dw_3_relu (ReLU) (None, 128, 128, 128) 0 _________________________________________________________________ conv_pw_3 (Conv2D) (None, 128, 128, 128) 16384 _________________________________________________________________ conv_pw_3_bn (BatchNormaliza (None, 128, 128, 128) 512 _________________________________________________________________ conv_pw_3_relu (ReLU) (None, 128, 128, 128) 0 _________________________________________________________________ conv_pad_4 (ZeroPadding2D) (None, 129, 129, 128) 0 _________________________________________________________________ conv_dw_4 (DepthwiseConv2D) (None, 64, 64, 128) 1152 _________________________________________________________________ conv_dw_4_bn (BatchNormaliza (None, 64, 64, 128) 512 _________________________________________________________________ conv_dw_4_relu (ReLU) (None, 64, 64, 128) 0 _________________________________________________________________ conv_pw_4 (Conv2D) (None, 64, 64, 256) 32768 _________________________________________________________________ conv_pw_4_bn (BatchNormaliza (None, 64, 64, 256) 1024 _________________________________________________________________ conv_pw_4_relu (ReLU) (None, 64, 64, 256) 0 _________________________________________________________________ conv_dw_5 (DepthwiseConv2D) (None, 64, 64, 256) 2304 _________________________________________________________________ conv_dw_5_bn (BatchNormaliza (None, 64, 64, 256) 1024 _________________________________________________________________ conv_dw_5_relu (ReLU) (None, 64, 64, 256) 0 _________________________________________________________________ conv_pw_5 (Conv2D) (None, 64, 64, 256) 65536 _________________________________________________________________ conv_pw_5_bn (BatchNormaliza (None, 64, 64, 256) 1024 _________________________________________________________________ conv_pw_5_relu (ReLU) (None, 64, 64, 256) 0 _________________________________________________________________ conv_pad_6 (ZeroPadding2D) (None, 65, 65, 256) 0 _________________________________________________________________ conv_dw_6 (DepthwiseConv2D) (None, 32, 32, 256) 2304 _________________________________________________________________ conv_dw_6_bn (BatchNormaliza (None, 32, 32, 256) 1024 _________________________________________________________________ conv_dw_6_relu (ReLU) (None, 32, 32, 256) 0 _________________________________________________________________ conv_pw_6 (Conv2D) (None, 32, 32, 512) 131072 _________________________________________________________________ conv_pw_6_bn (BatchNormaliza (None, 32, 32, 512) 2048 _________________________________________________________________ conv_pw_6_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_dw_7 (DepthwiseConv2D) (None, 32, 32, 512) 4608 _________________________________________________________________ conv_dw_7_bn (BatchNormaliza (None, 32, 32, 512) 2048 _________________________________________________________________ conv_dw_7_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_pw_7 (Conv2D) (None, 32, 32, 512) 262144 _________________________________________________________________ conv_pw_7_bn (BatchNormaliza (None, 32, 32, 512) 2048 _________________________________________________________________ conv_pw_7_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_dw_8 (DepthwiseConv2D) (None, 32, 32, 512) 4608 _________________________________________________________________ conv_dw_8_bn (BatchNormaliza (None, 32, 32, 512) 2048 _________________________________________________________________ conv_dw_8_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_pw_8 (Conv2D) (None, 32, 32, 512) 262144 _________________________________________________________________ conv_pw_8_bn (BatchNormaliza (None, 32, 32, 512) 2048 _________________________________________________________________ conv_pw_8_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_dw_9 (DepthwiseConv2D) (None, 32, 32, 512) 4608 _________________________________________________________________ conv_dw_9_bn (BatchNormaliza (None, 32, 32, 512) 2048 _________________________________________________________________ conv_dw_9_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_pw_9 (Conv2D) (None, 32, 32, 512) 262144 _________________________________________________________________ conv_pw_9_bn (BatchNormaliza (None, 32, 32, 512) 2048 _________________________________________________________________ conv_pw_9_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_dw_10 (DepthwiseConv2D) (None, 32, 32, 512) 4608 _________________________________________________________________ conv_dw_10_bn (BatchNormaliz (None, 32, 32, 512) 2048 _________________________________________________________________ conv_dw_10_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_pw_10 (Conv2D) (None, 32, 32, 512) 262144 _________________________________________________________________ conv_pw_10_bn (BatchNormaliz (None, 32, 32, 512) 2048 _________________________________________________________________ conv_pw_10_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_dw_11 (DepthwiseConv2D) (None, 32, 32, 512) 4608 _________________________________________________________________ conv_dw_11_bn (BatchNormaliz (None, 32, 32, 512) 2048 _________________________________________________________________ conv_dw_11_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_pw_11 (Conv2D) (None, 32, 32, 512) 262144 _________________________________________________________________ conv_pw_11_bn (BatchNormaliz (None, 32, 32, 512) 2048 _________________________________________________________________ conv_pw_11_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_pad_12 (ZeroPadding2D) (None, 33, 33, 512) 0 _________________________________________________________________ conv_dw_12 (DepthwiseConv2D) (None, 16, 16, 512) 4608 _________________________________________________________________ conv_dw_12_bn (BatchNormaliz (None, 16, 16, 512) 2048 _________________________________________________________________ conv_dw_12_relu (ReLU) (None, 16, 16, 512) 0 _________________________________________________________________ conv_pw_12 (Conv2D) (None, 16, 16, 1024) 524288 _________________________________________________________________ conv_pw_12_bn (BatchNormaliz (None, 16, 16, 1024) 4096 _________________________________________________________________ conv_pw_12_relu (ReLU) (None, 16, 16, 1024) 0 _________________________________________________________________ conv_dw_13 (DepthwiseConv2D) (None, 16, 16, 1024) 9216 _________________________________________________________________ conv_dw_13_bn (BatchNormaliz (None, 16, 16, 1024) 4096 _________________________________________________________________ conv_dw_13_relu (ReLU) (None, 16, 16, 1024) 0 _________________________________________________________________ conv_pw_13 (Conv2D) (None, 16, 16, 1024) 1048576 _________________________________________________________________ conv_pw_13_bn (BatchNormaliz (None, 16, 16, 1024) 4096 _________________________________________________________________ conv_pw_13_relu (ReLU) (None, 16, 16, 1024) 0 _________________________________________________________________ global_average_pooling2d_12 (None, 1024) 0 _________________________________________________________________ dense_12 (Dense) (None, 2) 2050 ================================================================= Total params: 3,230,914 Trainable params: 3,209,026 Non-trainable params: 21,888 _________________________________________________________________ [[1. 0.] [1. 0.] [1. 0.] ... [1. 0.] [1. 0.] [1. 0.]]
y_score_MobileNet_Test = []
count = 0
for index in range(NUMBER_TEST_SAMPLES_MobileNet_Test): #compute one at a time due to memory constraints
count = count+1
print(count)
probs_MobileNet_Test = predict(img_path = test_files[index], model_architecture = mobilenet_architecture_function, path_model_weight = mobilenet_architecture_weight_path)
print("Real values..." + "Melanoma : ", test_targets[index][0], " | Other : ", test_targets[index][1])
print("---------------------------------------------------------------------------")
y_score_MobileNet_Test.append(probs_MobileNet_Test)
correct_MobileNet_Test = np.array(y_true_MobileNet_Test) == np.array(y_score_MobileNet_Test)
Streaming output truncated to the last 5000 lines.
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8862681 | Other : 0.113731936
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
147
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013891.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8866708 | Other : 0.11332922
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
148
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013998.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8866504 | Other : 0.11334962
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
149
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013925.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8862066 | Other : 0.11379336
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
150
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014103.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8871077 | Other : 0.1128923
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
151
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014006.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8865779 | Other : 0.11342211
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
152
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014177.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8876123 | Other : 0.11238773
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
153
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014148.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88729656 | Other : 0.11270348
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
154
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014129.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88714623 | Other : 0.11285377
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
155
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014160.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8872706 | Other : 0.1127293
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
156
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014117.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88814247 | Other : 0.11185749
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
157
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014090.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8877825 | Other : 0.11221748
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
158
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014186.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8876268 | Other : 0.11237317
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
159
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014110.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8868117 | Other : 0.11318829
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
160
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014181.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8872636 | Other : 0.11273641
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
161
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014077.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8861549 | Other : 0.11384507
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
162
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014027.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88624376 | Other : 0.113756225
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
163
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014059.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88511235 | Other : 0.11488769
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
164
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014336.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8872869 | Other : 0.11271315
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
165
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014319.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88744944 | Other : 0.11255056
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
166
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014255.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88601166 | Other : 0.11398834
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
167
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014270.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8870349 | Other : 0.11296516
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
168
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014369.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88821083 | Other : 0.11178918
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
169
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014349.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8881027 | Other : 0.11189724
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
170
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014251.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88744056 | Other : 0.11255941
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
171
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014221.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8855346 | Other : 0.11446539
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
172
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014278.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8867607 | Other : 0.1132393
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
173
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014288.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8867696 | Other : 0.11323039
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
174
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014233.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8873662 | Other : 0.11263384
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
175
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014219.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88704985 | Other : 0.1129501
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
176
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014284.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8877353 | Other : 0.11226465
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
177
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014386.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8878744 | Other : 0.112125605
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
178
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014423.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88776135 | Other : 0.112238586
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
179
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014470.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8860978 | Other : 0.11390226
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
180
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014489.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8857848 | Other : 0.11421518
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
181
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014392.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8859886 | Other : 0.114011414
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
182
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014503.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88616633 | Other : 0.11383373
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
183
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014500.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8881777 | Other : 0.1118223
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
184
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014419.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88780993 | Other : 0.11219009
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
185
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014454.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8860413 | Other : 0.11395878
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
186
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014457.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88758796 | Other : 0.11241208
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
187
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014434.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.887066 | Other : 0.112933956
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
188
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014474.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88680613 | Other : 0.113193795
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
189
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014506.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88814247 | Other : 0.11185755
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
190
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014478.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8877258 | Other : 0.11227422
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
191
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014409.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8867642 | Other : 0.11323574
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
192
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014567.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8859858 | Other : 0.1140142
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
193
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014574.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88661486 | Other : 0.11338511
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
194
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014541.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88741225 | Other : 0.112587705
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
195
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014513.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88707584 | Other : 0.112924196
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
196
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014600.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88575804 | Other : 0.114241906
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
197
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014586.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8871088 | Other : 0.11289123
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
198
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014587.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8853432 | Other : 0.11465682
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
199
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014542.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88641286 | Other : 0.113587126
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
200
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014588.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88570344 | Other : 0.114296585
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
201
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014559.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88734365 | Other : 0.11265639
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
202
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014619.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8860617 | Other : 0.11393822
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
203
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014575.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88674784 | Other : 0.113252185
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
204
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014546.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8879729 | Other : 0.11202713
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
205
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014548.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88798463 | Other : 0.11201531
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
206
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014590.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8862062 | Other : 0.11379378
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
207
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014634.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88648057 | Other : 0.11351942
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
208
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014644.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.885918 | Other : 0.11408197
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
209
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014647.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8851271 | Other : 0.11487295
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
210
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014643.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88585573 | Other : 0.11414425
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
211
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014652.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.885293 | Other : 0.11470705
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
212
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014653.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88576275 | Other : 0.11423728
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
213
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014629.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88564456 | Other : 0.11435548
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
214
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014648.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8861741 | Other : 0.11382591
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
215
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014626.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8862289 | Other : 0.11377109
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
216
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014631.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88704497 | Other : 0.112955034
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
217
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014627.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8860064 | Other : 0.11399352
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
218
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014649.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8865064 | Other : 0.113493614
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
219
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014645.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88661194 | Other : 0.11338807
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
220
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014675.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8870738 | Other : 0.11292617
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
221
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014666.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88619626 | Other : 0.11380379
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
222
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014663.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88725394 | Other : 0.11274605
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
223
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014687.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8852123 | Other : 0.11478774
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
224
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014677.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88731897 | Other : 0.112681024
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
225
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014698.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88589996 | Other : 0.114100024
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
226
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014703.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88714427 | Other : 0.11285579
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
227
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014697.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88595855 | Other : 0.11404152
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
228
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014695.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8858007 | Other : 0.11419925
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
229
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014693.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88722163 | Other : 0.11277834
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
230
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014740.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88611466 | Other : 0.11388538
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
231
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014725.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.886062 | Other : 0.113938004
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
232
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014720.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8870116 | Other : 0.112988435
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
233
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014729.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8855555 | Other : 0.11444449
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
234
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014743.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88684636 | Other : 0.11315359
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
235
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014727.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8856582 | Other : 0.11434182
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
236
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014728.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88584983 | Other : 0.11415023
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
237
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014746.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88736945 | Other : 0.11263055
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
238
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014749.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88583475 | Other : 0.114165254
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
239
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014766.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.885749 | Other : 0.11425097
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
240
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014768.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8874978 | Other : 0.11250224
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
241
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014765.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88696444 | Other : 0.11303556
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
242
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014753.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8866458 | Other : 0.11335422
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
243
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014755.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8863525 | Other : 0.113647535
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
244
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014790.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.887058 | Other : 0.11294193
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
245
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014772.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8869316 | Other : 0.11306838
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
246
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014786.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8868382 | Other : 0.11316184
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
247
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014784.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8875305 | Other : 0.11246954
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
248
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014773.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88718957 | Other : 0.11281046
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
249
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014780.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8861103 | Other : 0.11388971
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
250
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014787.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8862367 | Other : 0.11376325
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
251
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014814.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88623524 | Other : 0.11376475
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
252
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014800.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88753164 | Other : 0.11246838
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
253
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014796.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8867874 | Other : 0.1132126
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
254
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014798.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8855785 | Other : 0.11442144
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
255
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014807.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8853261 | Other : 0.114673935
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
256
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014792.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88668203 | Other : 0.11331793
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
257
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014826.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.884858 | Other : 0.11514194
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
258
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014815.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88733923 | Other : 0.11266079
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
259
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014835.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8869711 | Other : 0.113028914
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
260
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014844.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8868545 | Other : 0.11314552
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
261
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014820.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88618356 | Other : 0.113816455
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
262
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014833.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8875029 | Other : 0.112497136
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
263
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014822.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8853594 | Other : 0.11464061
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
264
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014862.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8855813 | Other : 0.114418685
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
265
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014867.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8867142 | Other : 0.11328583
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
266
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014853.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8852175 | Other : 0.11478248
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
267
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014868.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8866381 | Other : 0.11336188
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
268
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014854.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88561386 | Other : 0.1143861
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
269
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014863.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8868406 | Other : 0.11315947
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
270
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014879.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88602346 | Other : 0.113976575
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
271
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014876.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8856233 | Other : 0.11437668
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
272
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014907.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8863545 | Other : 0.11364553
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
273
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014901.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88737905 | Other : 0.11262094
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
274
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014883.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88494015 | Other : 0.115059786
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
275
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014872.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88639665 | Other : 0.1136033
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
276
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014921.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88576686 | Other : 0.114233114
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
277
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014928.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8876475 | Other : 0.11235255
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
278
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014932.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8857347 | Other : 0.11426535
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
279
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014927.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8851875 | Other : 0.11481251
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
280
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014912.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8871739 | Other : 0.112826146
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
281
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014910.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8869434 | Other : 0.11305654
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
282
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014941.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88464916 | Other : 0.11535085
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
283
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014943.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8875241 | Other : 0.11247586
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
284
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014938.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8851157 | Other : 0.11488424
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
285
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014936.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8852332 | Other : 0.11476676
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
286
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014942.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8858221 | Other : 0.11417783
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
287
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014940.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8855558 | Other : 0.114444196
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
288
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014949.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88678974 | Other : 0.11321027
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
289
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014947.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8854227 | Other : 0.11457734
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
290
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014948.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8858934 | Other : 0.11410657
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
291
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014952.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88520575 | Other : 0.1147942
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
292
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014944.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8866804 | Other : 0.11331959
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
293
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014956.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88592225 | Other : 0.114077784
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
294
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014955.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8859758 | Other : 0.114024274
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
295
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014957.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8853549 | Other : 0.11464513
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
296
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014959.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8867769 | Other : 0.113223046
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
297
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014961.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.886334 | Other : 0.11366598
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
298
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014958.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88477004 | Other : 0.11522997
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
299
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014964.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88571024 | Other : 0.11428978
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
300
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014962.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88526833 | Other : 0.1147317
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
301
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014966.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8864904 | Other : 0.11350959
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
302
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014969.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8851323 | Other : 0.11486764
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
303
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014963.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8856484 | Other : 0.114351586
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
304
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014968.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8860303 | Other : 0.113969706
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
305
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014974.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88491243 | Other : 0.115087576
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
306
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014982.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88615716 | Other : 0.11384284
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
307
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014973.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8855904 | Other : 0.11440958
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
308
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014977.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8869211 | Other : 0.11307887
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
309
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014994.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.886755 | Other : 0.113245
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
310
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014992.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88715637 | Other : 0.11284364
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
311
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014998.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8870258 | Other : 0.112974234
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
312
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015004.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8857574 | Other : 0.11424257
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
313
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015007.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88728756 | Other : 0.1127125
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
314
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015002.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8866429 | Other : 0.11335713
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
315
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015003.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88631666 | Other : 0.113683335
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
316
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015008.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8867794 | Other : 0.113220565
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
317
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015013.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88700026 | Other : 0.11299973
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
318
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015011.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88661075 | Other : 0.11338931
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
319
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015009.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8868915 | Other : 0.11310853
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
320
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015019.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8854405 | Other : 0.114559434
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
321
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015020.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8855371 | Other : 0.11446295
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
322
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015018.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8870333 | Other : 0.11296668
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
323
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015016.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8866977 | Other : 0.113302305
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
324
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015015.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8865112 | Other : 0.11348879
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
325
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015030.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8867276 | Other : 0.11327241
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
326
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015034.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8858427 | Other : 0.114157334
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
327
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015031.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88520163 | Other : 0.11479839
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
328
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015021.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8873261 | Other : 0.11267385
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
329
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015023.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88607943 | Other : 0.113920614
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
330
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015026.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88672704 | Other : 0.113273
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
331
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015035.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88641924 | Other : 0.11358079
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
332
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015041.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8856954 | Other : 0.1143046
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
333
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015037.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88692683 | Other : 0.11307319
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
334
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015040.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88686454 | Other : 0.11313541
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
335
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015060.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88667303 | Other : 0.11332698
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
336
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015046.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8853325 | Other : 0.11466749
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
337
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015056.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8871722 | Other : 0.11282778
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
338
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015057.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8864817 | Other : 0.11351825
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
339
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015051.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88732356 | Other : 0.112676375
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
340
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015050.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8863238 | Other : 0.11367617
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
341
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015089.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88478297 | Other : 0.115217
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
342
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015078.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8861062 | Other : 0.11389378
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
343
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015102.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88596314 | Other : 0.11403686
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
344
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015064.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88738734 | Other : 0.11261273
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
345
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015115.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88738215 | Other : 0.112617865
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
346
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015118.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88596237 | Other : 0.11403767
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
347
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015071.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88515323 | Other : 0.11484672
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
348
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015129.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88575196 | Other : 0.114248045
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
349
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015127.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8867259 | Other : 0.11327409
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
350
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015125.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88487643 | Other : 0.115123555
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
351
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015130.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88458556 | Other : 0.1154144
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
352
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015132.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88646543 | Other : 0.11353454
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
353
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015119.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88563144 | Other : 0.11436852
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
354
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015142.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88554037 | Other : 0.11445962
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
355
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015146.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8855302 | Other : 0.11446985
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
356
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015139.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8853612 | Other : 0.11463879
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
357
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015140.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88572174 | Other : 0.11427822
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
358
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015136.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88645476 | Other : 0.11354529
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
359
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015133.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8860072 | Other : 0.113992766
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
360
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015156.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88698244 | Other : 0.11301755
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
361
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015150.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88675106 | Other : 0.11324896
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
362
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015160.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88553923 | Other : 0.11446078
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
363
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015157.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88732505 | Other : 0.11267492
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
364
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015149.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8870434 | Other : 0.11295661
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
365
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015152.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8851144 | Other : 0.114885546
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
366
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015155.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88695395 | Other : 0.113046125
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
367
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015175.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88513786 | Other : 0.114862196
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
368
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015167.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8861221 | Other : 0.11387785
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
369
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015163.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88567454 | Other : 0.11432551
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
370
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015174.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8857896 | Other : 0.11421048
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
371
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015173.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8857565 | Other : 0.11424352
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
372
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015161.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8863145 | Other : 0.1136855
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
373
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015171.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88726616 | Other : 0.112733915
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
374
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015176.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8868221 | Other : 0.11317788
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
375
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015185.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88664603 | Other : 0.11335395
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
376
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015193.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8862699 | Other : 0.113730036
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
377
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015184.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88558954 | Other : 0.11441041
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
378
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015179.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88568854 | Other : 0.114311375
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
379
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015180.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88708055 | Other : 0.112919465
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
380
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015208.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8863437 | Other : 0.11365628
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
381
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015212.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8871708 | Other : 0.11282924
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
382
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015206.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88660467 | Other : 0.11339535
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
383
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015203.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8872381 | Other : 0.11276194
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
384
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015207.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88682556 | Other : 0.11317447
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
385
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015201.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88575304 | Other : 0.114246994
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
386
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015202.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8837953 | Other : 0.1162047
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
387
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015224.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88556534 | Other : 0.11443461
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
388
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015217.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8855789 | Other : 0.11442113
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
389
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015223.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8864091 | Other : 0.113590896
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
390
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015218.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8862887 | Other : 0.11371135
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
391
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015226.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8873798 | Other : 0.11262021
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
392
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015216.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8874845 | Other : 0.112515524
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
393
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015215.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88579315 | Other : 0.11420691
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
394
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015244.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8868313 | Other : 0.113168776
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
395
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015229.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.887066 | Other : 0.11293401
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
396
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015245.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88733387 | Other : 0.11266608
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
397
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015232.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8868251 | Other : 0.113174856
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
398
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015237.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8864825 | Other : 0.11351752
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
399
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015241.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88652384 | Other : 0.11347619
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
400
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015254.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88624626 | Other : 0.113753766
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
401
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015251.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8871275 | Other : 0.11287247
Real values...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
402
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015255.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8864635 | Other : 0.11353644
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
403
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015250.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88712645 | Other : 0.11287354
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
404
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015258.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88590556 | Other : 0.114094436
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
405
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015264.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8856826 | Other : 0.11431744
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
406
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015283.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8853826 | Other : 0.11461736
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
407
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015270.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8856867 | Other : 0.11431328
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
408
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015274.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8871297 | Other : 0.11287035
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
409
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015279.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88653785 | Other : 0.11346214
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
410
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015276.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88755906 | Other : 0.112441
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
411
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015291.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8870693 | Other : 0.11293074
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
412
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015273.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88625616 | Other : 0.11374383
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
413
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015293.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8852937 | Other : 0.11470625
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
414
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015311.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8856478 | Other : 0.1143522
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
415
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015310.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88741976 | Other : 0.11258024
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
416
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015298.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88578016 | Other : 0.11421983
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
417
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015309.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8868043 | Other : 0.11319574
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
418
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015312.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88600034 | Other : 0.113999665
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
419
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015357.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8869691 | Other : 0.113030866
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
420
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015353.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88595515 | Other : 0.11404485
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
421
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015331.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88717586 | Other : 0.112824164
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
422
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015347.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8842227 | Other : 0.11577731
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
423
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015330.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8850405 | Other : 0.11495951
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
424
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015355.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88551027 | Other : 0.114489764
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
425
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015369.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88709956 | Other : 0.11290042
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
426
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015368.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88726634 | Other : 0.11273368
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
427
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015383.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88586813 | Other : 0.11413183
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
428
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015386.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88540894 | Other : 0.11459108
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
429
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015363.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8864066 | Other : 0.11359345
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
430
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015364.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88556236 | Other : 0.1144376
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
431
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015360.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88420916 | Other : 0.11579083
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
432
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015403.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8867559 | Other : 0.11324404
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
433
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015395.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8852369 | Other : 0.11476304
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
434
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015412.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88541454 | Other : 0.114585415
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
435
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015411.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88615304 | Other : 0.113847025
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
436
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015390.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88524497 | Other : 0.11475499
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
437
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015404.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88589376 | Other : 0.11410622
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
438
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015416.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8855769 | Other : 0.114423044
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
439
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015419.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88551927 | Other : 0.11448071
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
440
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015436.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88520277 | Other : 0.11479727
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
441
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015418.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8855444 | Other : 0.11445564
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
442
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015440.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88727033 | Other : 0.11272967
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
443
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015417.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88711977 | Other : 0.11288025
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
444
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015447.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88746345 | Other : 0.11253653
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
445
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015481.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88761127 | Other : 0.11238875
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
446
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015464.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8864933 | Other : 0.11350663
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
447
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015468.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8861867 | Other : 0.11381326
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
448
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015455.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8857705 | Other : 0.11422945
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
449
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015476.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8850631 | Other : 0.11493684
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
450
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015466.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88717633 | Other : 0.112823695
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
451
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015482.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88735974 | Other : 0.11264029
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
452
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015544.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88674796 | Other : 0.1132521
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
453
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015510.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8874892 | Other : 0.112510785
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
454
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015563.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88567036 | Other : 0.11432962
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
455
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015526.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88615817 | Other : 0.11384184
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
456
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015485.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8853547 | Other : 0.11464532
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
457
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015537.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88707644 | Other : 0.11292354
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
458
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015559.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88582754 | Other : 0.114172444
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
459
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015603.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8871348 | Other : 0.11286524
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
460
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015568.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88615555 | Other : 0.11384447
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
461
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015566.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8859039 | Other : 0.11409607
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
462
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015614.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8859546 | Other : 0.114045344
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
463
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015593.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8850437 | Other : 0.11495632
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
464
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015582.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88570035 | Other : 0.11429967
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
465
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015607.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88684785 | Other : 0.11315214
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
466
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015636.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8877825 | Other : 0.11221753
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
467
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015625.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8862238 | Other : 0.113776185
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
468
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015617.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8869344 | Other : 0.11306558
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
469
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015645.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8864257 | Other : 0.11357425
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
470
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015638.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8866231 | Other : 0.113376915
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
471
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015641.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8858653 | Other : 0.11413471
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
472
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015631.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8856928 | Other : 0.11430722
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
473
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015939.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8861428 | Other : 0.11385723
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
474
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015938.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8870019 | Other : 0.11299815
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
475
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015936.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8878794 | Other : 0.11212062
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
476
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015941.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88664645 | Other : 0.11335358
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
477
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015947.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88793904 | Other : 0.11206097
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
478
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015944.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8870243 | Other : 0.11297568
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
479
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015943.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88775414 | Other : 0.11224589
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
480
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015940.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8859939 | Other : 0.114006124
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
481
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015945.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.887835 | Other : 0.11216502
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
482
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015937.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8861004 | Other : 0.11389959
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
483
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015942.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88653773 | Other : 0.11346224
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
484
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015946.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8880682 | Other : 0.1119318
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
485
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015956.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8861887 | Other : 0.11381133
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
486
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015950.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8873977 | Other : 0.1126023
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
487
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015955.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.886834 | Other : 0.11316602
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
488
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015949.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88626426 | Other : 0.11373582
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
489
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015951.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.888069 | Other : 0.111931
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
490
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015954.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88648075 | Other : 0.113519266
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
491
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015953.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88674587 | Other : 0.11325415
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
492
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015959.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8862753 | Other : 0.1137247
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
493
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015958.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.886549 | Other : 0.11345107
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
494
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015952.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8875348 | Other : 0.11246518
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
495
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015960.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88622475 | Other : 0.11377533
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
496
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015948.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8861111 | Other : 0.11388891
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
497
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015957.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8870111 | Other : 0.11298882
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
498
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015962.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8866286 | Other : 0.113371335
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
499
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015965.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88647026 | Other : 0.11352977
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
500
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015961.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88639104 | Other : 0.11360895
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
501
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015972.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8869828 | Other : 0.1130172
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
502
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015963.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88635385 | Other : 0.11364614
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
503
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015968.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8868354 | Other : 0.11316458
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
504
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015969.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8866397 | Other : 0.113360316
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
505
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015971.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8870089 | Other : 0.112991154
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
506
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015973.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8852937 | Other : 0.114706196
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
507
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015964.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8876104 | Other : 0.11238963
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
508
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015966.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8858518 | Other : 0.11414826
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
509
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015967.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88535917 | Other : 0.11464087
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
510
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015986.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8866642 | Other : 0.1133358
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
511
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015981.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8863197 | Other : 0.1136803
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
512
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015982.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.886125 | Other : 0.11387495
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
513
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015980.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8866614 | Other : 0.11333859
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
514
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015974.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8858153 | Other : 0.114184685
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
515
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015985.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8875668 | Other : 0.11243316
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
516
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015976.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8863825 | Other : 0.11361744
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
517
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015979.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88570315 | Other : 0.114296876
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
518
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015978.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88585573 | Other : 0.11414427
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
519
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015987.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88648987 | Other : 0.113510154
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
520
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015975.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88685024 | Other : 0.11314982
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
521
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015984.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88608843 | Other : 0.11391155
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
522
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015983.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88643616 | Other : 0.11356376
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
523
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015998.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8874881 | Other : 0.112511836
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
524
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015988.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88752365 | Other : 0.11247637
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
525
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015992.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8868459 | Other : 0.113154136
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
526
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015991.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8870194 | Other : 0.112980664
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
527
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015993.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88717717 | Other : 0.112822846
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
528
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015995.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88825524 | Other : 0.111744694
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
529
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015990.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88713175 | Other : 0.11286824
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
530
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015997.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88803214 | Other : 0.11196792
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
531
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015994.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88696104 | Other : 0.113039
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
532
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015989.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88736415 | Other : 0.11263588
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
533
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015996.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8873443 | Other : 0.11265572
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
534
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016006.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8860279 | Other : 0.11397211
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
535
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016004.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8879771 | Other : 0.112022825
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
536
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016002.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8876418 | Other : 0.11235821
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
537
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016003.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8873818 | Other : 0.11261825
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
538
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016011.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8871316 | Other : 0.11286844
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
539
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016009.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88626856 | Other : 0.11373151
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
540
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016005.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8862274 | Other : 0.113772556
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
541
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016008.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8876335 | Other : 0.112366505
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
542
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016000.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8871236 | Other : 0.112876356
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
543
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015999.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8875297 | Other : 0.11247032
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
544
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016007.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88650024 | Other : 0.11349972
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
545
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016001.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8872605 | Other : 0.11273955
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
546
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016015.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8860319 | Other : 0.113968104
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
547
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016019.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8854133 | Other : 0.114586726
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
548
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016022.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8873482 | Other : 0.11265178
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
549
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016014.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8869227 | Other : 0.113077305
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
550
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016012.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8879888 | Other : 0.11201118
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
551
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016016.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88743085 | Other : 0.11256913
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
552
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016018.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88687974 | Other : 0.11312022
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
553
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016024.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8870544 | Other : 0.11294564
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
554
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016017.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88758695 | Other : 0.112413116
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
555
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016023.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8870938 | Other : 0.112906255
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
556
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016013.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8866262 | Other : 0.11337385
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
557
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016030.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88767165 | Other : 0.11232834
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
558
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016033.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8859836 | Other : 0.11401635
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
559
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016034.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8868285 | Other : 0.11317158
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
560
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016025.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8881249 | Other : 0.11187512
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
561
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016028.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88701236 | Other : 0.11298762
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
562
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016027.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8880651 | Other : 0.11193487
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
563
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016026.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8876783 | Other : 0.11232163
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
564
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016029.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.886619 | Other : 0.11338098
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
565
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016031.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8871737 | Other : 0.11282628
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
566
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016035.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8868133 | Other : 0.11318676
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
567
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016041.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88623136 | Other : 0.11376864
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
568
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016038.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88631827 | Other : 0.11368177
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
569
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016036.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88726586 | Other : 0.11273412
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
570
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016043.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88571477 | Other : 0.114285216
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
571
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016046.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8871188 | Other : 0.11288116
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
572
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016037.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88675845 | Other : 0.113241576
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
573
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016045.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8877499 | Other : 0.11225014
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
574
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016044.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8857613 | Other : 0.114238724
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
575
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016040.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88826877 | Other : 0.11173122
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
576
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016042.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8871098 | Other : 0.112890154
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
577
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016048.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8870188 | Other : 0.11298116
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
578
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016059.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8871802 | Other : 0.11281982
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
579
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016054.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88725847 | Other : 0.11274153
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
580
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016057.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8867815 | Other : 0.1132185
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
581
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016052.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8872198 | Other : 0.1127802
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
582
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016055.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8855639 | Other : 0.11443604
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
583
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016058.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8858832 | Other : 0.114116795
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
584
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016051.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88777786 | Other : 0.112222135
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
585
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016049.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8872196 | Other : 0.11278039
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
586
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016053.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8866637 | Other : 0.11333627
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
587
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016050.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8881971 | Other : 0.111802906
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
588
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016056.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88745433 | Other : 0.1125457
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
589
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016070.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88611597 | Other : 0.113884054
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
590
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016063.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8868724 | Other : 0.113127574
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
591
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016065.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88670415 | Other : 0.11329581
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
592
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016062.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88714886 | Other : 0.11285116
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
593
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016069.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88785297 | Other : 0.11214702
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
594
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016072.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88830304 | Other : 0.111697
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
595
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016064.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88702786 | Other : 0.112972155
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
596
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016060.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8871511 | Other : 0.11284893
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
597
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016061.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8870941 | Other : 0.11290597
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
598
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016071.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8875579 | Other : 0.112442054
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
599
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016068.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8860789 | Other : 0.113921136
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
600
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016066.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268214710>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88707143 | Other : 0.112928525
Real values...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
print("Accuracy = %2.2f%%" % (np.mean(correct_MobileNet_Test)*100))
Accuracy = 80.50%
# Re-ordering the actual y (for ROC)
y_true_2_MobileNet_Test = []
for i in range(len(y_true_MobileNet_Test)):
y_true_2_MobileNet_Test.append(y_true_MobileNet_Test[i][0])
# Re-ordering the predicte y (for ROC)
y_score_2_MobileNet_Test = []
for i in range(len(y_score_MobileNet_Test)):
y_score_2_MobileNet_Test.append(y_score_MobileNet_Test[i][0])
plot_roc(y_true_2_MobileNet_Test, y_score_2_MobileNet_Test)
def positive_negative_measurement(y_true, y_score):
# Initialization
TRUE_POSITIVE = 0
FALSE_POSITIVE = 0
TRUE_NEGATIVE = 0
FALSE_NEGATIVE = 0
# Calculating the model
for i in range(len(y_score)):
if y_true[i] == y_score[i] == 1:
TRUE_POSITIVE += 1
if (y_score[i] == 1) and (y_true[i] != y_score[i]):
FALSE_POSITIVE += 1
if y_true[i] == y_score[i] == 0:
TRUE_NEGATIVE += 1
if (y_score[i] == 0) and (y_true[i] != y_score[i]):
FALSE_NEGATIVE += 1
return(TRUE_POSITIVE, FALSE_POSITIVE, TRUE_NEGATIVE, FALSE_NEGATIVE)
TRUE_POSITIVE_MobileNet_Test, FALSE_POSITIVE_MobileNet_Test, TRUE_NEGATIVE_MobileNet_Test, FALSE_NEGATIVE_MobileNet_Test = positive_negative_measurement(y_true_2_MobileNet_Test, y_score_2_MobileNet_Test)
postives_negatives_MobileNet_Test = [[TRUE_POSITIVE_MobileNet_Test, FALSE_POSITIVE_MobileNet_Test],
[FALSE_NEGATIVE_MobileNet_Test, TRUE_NEGATIVE_MobileNet_Test]]
postives_negatives_MobileNet_Test
[[483, 117], [0, 0]]
sns.set()
labels_MobileNet_Test = np.array([['True positive: ' + str(TRUE_POSITIVE_MobileNet_Test),
'False positive: ' + str(FALSE_POSITIVE_MobileNet_Test)],
['False negative: ' + str(FALSE_NEGATIVE_MobileNet_Test),
'True negative: ' + str(TRUE_NEGATIVE_MobileNet_Test)]])
plt.figure(figsize = (13, 10))
sns.heatmap(postives_negatives_MobileNet_Test, annot = labels_MobileNet_Test, linewidths = 0.1, fmt="", cmap = 'RdYlGn')
<matplotlib.axes._subplots.AxesSubplot at 0x7fb267881c50>
labels_MobileNet_Test
array([['True positive: 483', 'False positive: 117'],
['False negative: 0', 'True negative: 0']], dtype='<U19')
# Sensitivity | Recall | hit rate | true positive rate (TPR)
sensitivity_MobileNet_Test = TRUE_POSITIVE_MobileNet_Test / (TRUE_POSITIVE_MobileNet_Test + FALSE_NEGATIVE_MobileNet_Test)
print("Sensitivity: ", sensitivity_MobileNet_Test)
Sensitivity: 1.0
# Specificity | selectivity | true negative rate (TNR)
try:
specifity_MobileNet_Test = TRUE_NEGATIVE_MobileNet_Test / (TRUE_NEGATIVE_MobileNet_Test + FALSE_NEGATIVE_MobileNet_Test)
print("Specifity: ", specifity_MobileNet_Test)
except:
print("No Specificity due to NO NEGATIVE results.")
No Specificity due to NO NEGATIVE results.
# Precision | positive predictive value (PPV)
predcision_MobileNet_Test = TRUE_POSITIVE_MobileNet_Test / (TRUE_POSITIVE_MobileNet_Test + FALSE_POSITIVE_MobileNet_Test)
print("Precision: ", predcision_MobileNet_Test)
Precision: 0.805
# Negative predictive value (NPV)
try:
npv_MobileNet_Test = TRUE_NEGATIVE_MobileNet_Test / (TRUE_NEGATIVE_MobileNet_Test + FALSE_NEGATIVE_MobileNet_Test)
print("Negative predictive value: ", npv_MobileNet_Test)
except:
print("0 Negative Predictions")
0 Negative Predictions
# Accuracy
accuracy_MobileNet_Test = (TRUE_POSITIVE_MobileNet_Test + TRUE_NEGATIVE_MobileNet_Test) / (TRUE_POSITIVE_MobileNet_Test + FALSE_POSITIVE_MobileNet_Test + TRUE_NEGATIVE_MobileNet_Test + FALSE_NEGATIVE_MobileNet_Test)
print("Accuracy: ", accuracy_MobileNet_Test)
Accuracy: 0.805
# Compute test set predictions
NUMBER_TEST_SAMPLES_Inception_Test = 600
inception_architecture_function = inception_architecture()
inception_architecture_weight_path = "/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5"
y_true_Inception_Test = test_targets[:NUMBER_TEST_SAMPLES_Inception_Test]
y_score_Inception_Test = []
for index in range(NUMBER_TEST_SAMPLES_Inception_Test): #compute one at a time due to memory constraints
probs_Inception_Test = predict(img_path = test_files[index], model_architecture = inception_architecture_function, path_model_weight = inception_architecture_weight_path)
print("Real values {}...".format(index+1) + "Melanoma : ", test_targets[index][0], " | Other : ", test_targets[index][1])
print("---------------------------------------------------------------------------")
y_score_Inception_Test.append(probs_Inception_Test)
correct_Inception_Test = np.array(y_true_Inception_Test) == np.array(y_score_Inception_Test)
Streaming output truncated to the last 5000 lines.
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013414.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89559543 | Other : 0.1044046
Real values 101...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013325.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89259046 | Other : 0.10740949
Real values 102...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013457.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.79319865 | Other : 0.20680134
Real values 103...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013321.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8829239 | Other : 0.117076114
Real values 104...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013455.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8911784 | Other : 0.108821556
Real values 105...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013374.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8258183 | Other : 0.17418167
Real values 106...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013411.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.94756806 | Other : 0.052431874
Real values 107...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013465.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8634936 | Other : 0.13650642
Real values 108...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013678.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.9744975 | Other : 0.025502462
Real values 109...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013696.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.9104786 | Other : 0.089521386
Real values 110...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013511.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.9994173 | Other : 0.0005826936
Real values 111...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013615.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.77316654 | Other : 0.22683343
Real values 112...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013588.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8954151 | Other : 0.10458492
Real values 113...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013617.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8875364 | Other : 0.112463586
Real values 114...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013529.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 1.0 | Other : 1.3584186e-13
Real values 115...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013577.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.890742 | Other : 0.109258026
Real values 116...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013636.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8930557 | Other : 0.10694429
Real values 117...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013602.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.90080374 | Other : 0.09919622
Real values 118...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013673.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8923487 | Other : 0.10765125
Real values 119...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013512.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 1.0 | Other : 1.2831847e-09
Real values 120...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013600.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.9140022 | Other : 0.08599776
Real values 121...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013565.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89162844 | Other : 0.108371556
Real values 122...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013813.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.999826 | Other : 0.00017397424
Real values 123...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013733.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8914953 | Other : 0.10850469
Real values 124...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013766.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8906192 | Other : 0.10938076
Real values 125...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013764.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8772025 | Other : 0.12279745
Real values 126...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013767.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8911754 | Other : 0.10882464
Real values 127...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013739.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.75352937 | Other : 0.24647063
Real values 128...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013794.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.7655264 | Other : 0.23447357
Real values 129...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013708.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.90787214 | Other : 0.09212779
Real values 130...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013833.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8813221 | Other : 0.11867787
Real values 131...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013738.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 1.0 | Other : 1.0837043e-19
Real values 132...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013814.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.85541517 | Other : 0.14458482
Real values 133...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013809.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.893059 | Other : 0.10694094
Real values 134...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013842.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8867537 | Other : 0.11324629
Real values 135...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013867.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89138544 | Other : 0.108614564
Real values 136...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013908.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8974459 | Other : 0.10255416
Real values 137...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013897.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8924706 | Other : 0.10752935
Real values 138...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013911.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8949018 | Other : 0.10509818
Real values 139...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013977.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89083725 | Other : 0.10916277
Real values 140...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013917.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89265317 | Other : 0.10734681
Real values 141...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013987.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8937707 | Other : 0.10622928
Real values 142...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013988.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8919604 | Other : 0.10803961
Real values 143...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013966.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.99998987 | Other : 1.0114748e-05
Real values 144...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013953.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.90370506 | Other : 0.09629496
Real values 145...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013948.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89125925 | Other : 0.108740754
Real values 146...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013891.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89775765 | Other : 0.10224237
Real values 147...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013998.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 1.0 | Other : 1.4407122e-14
Real values 148...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013925.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89130795 | Other : 0.10869205
Real values 149...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014103.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8910034 | Other : 0.10899657
Real values 150...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014006.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.9216875 | Other : 0.07831249
Real values 151...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014177.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.87286437 | Other : 0.12713568
Real values 152...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014148.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8957181 | Other : 0.10428188
Real values 153...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014129.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.96046543 | Other : 0.039534524
Real values 154...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014160.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89630353 | Other : 0.103696406
Real values 155...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014117.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8936427 | Other : 0.10635729
Real values 156...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014090.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8924932 | Other : 0.10750683
Real values 157...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014186.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8910481 | Other : 0.10895189
Real values 158...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014110.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8913211 | Other : 0.10867889
Real values 159...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014181.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89085084 | Other : 0.109149136
Real values 160...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014077.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89139575 | Other : 0.10860427
Real values 161...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014027.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 1.0 | Other : 3.642063e-09
Real values 162...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014059.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8921067 | Other : 0.10789332
Real values 163...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014336.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.999713 | Other : 0.00028697716
Real values 164...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014319.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89251 | Other : 0.10748993
Real values 165...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014255.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.890861 | Other : 0.10913902
Real values 166...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014270.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8908744 | Other : 0.10912554
Real values 167...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014369.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8925565 | Other : 0.10744351
Real values 168...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014349.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8927156 | Other : 0.107284434
Real values 169...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014251.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8931447 | Other : 0.106855266
Real values 170...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014221.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8943284 | Other : 0.10567162
Real values 171...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014278.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89128315 | Other : 0.10871689
Real values 172...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014288.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.890948 | Other : 0.10905197
Real values 173...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014233.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89192235 | Other : 0.10807772
Real values 174...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014219.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89078087 | Other : 0.10921913
Real values 175...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014284.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8912493 | Other : 0.10875064
Real values 176...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014386.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.86127234 | Other : 0.13872771
Real values 177...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014423.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89068705 | Other : 0.10931302
Real values 178...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014470.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.7712451 | Other : 0.22875488
Real values 179...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014489.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.93917996 | Other : 0.06082
Real values 180...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014392.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8994939 | Other : 0.10050612
Real values 181...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014503.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8911146 | Other : 0.10888544
Real values 182...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014500.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89106965 | Other : 0.10893032
Real values 183...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014419.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89300454 | Other : 0.10699549
Real values 184...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014454.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.96386224 | Other : 0.03613779
Real values 185...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014457.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89068806 | Other : 0.10931189
Real values 186...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014434.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.99831843 | Other : 0.0016815844
Real values 187...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014474.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8907153 | Other : 0.10928474
Real values 188...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014506.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89165676 | Other : 0.10834319
Real values 189...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014478.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.892954 | Other : 0.10704606
Real values 190...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014409.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 1.0 | Other : 1.2473849e-13
Real values 191...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014567.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.850961 | Other : 0.14903893
Real values 192...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014574.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8575185 | Other : 0.14248154
Real values 193...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014541.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.96844965 | Other : 0.031550378
Real values 194...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014513.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8949734 | Other : 0.1050266
Real values 195...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014600.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.9082024 | Other : 0.091797605
Real values 196...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014586.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89908856 | Other : 0.100911364
Real values 197...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014587.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8462224 | Other : 0.15377755
Real values 198...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014542.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.900522 | Other : 0.09947803
Real values 199...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014588.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.7834356 | Other : 0.21656442
Real values 200...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014559.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89146453 | Other : 0.10853551
Real values 201...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014619.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.80958116 | Other : 0.19041882
Real values 202...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014575.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8990332 | Other : 0.100966826
Real values 203...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014546.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.97053605 | Other : 0.029463926
Real values 204...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014548.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88607025 | Other : 0.11392974
Real values 205...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014590.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8089514 | Other : 0.1910486
Real values 206...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014634.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.87931895 | Other : 0.12068098
Real values 207...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014644.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89718556 | Other : 0.1028144
Real values 208...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014647.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.90436465 | Other : 0.095635355
Real values 209...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014643.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88180524 | Other : 0.118194744
Real values 210...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014652.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89140093 | Other : 0.10859903
Real values 211...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014653.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.894167 | Other : 0.10583303
Real values 212...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014629.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8886756 | Other : 0.111324385
Real values 213...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014648.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89405215 | Other : 0.10594786
Real values 214...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014626.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8678242 | Other : 0.13217582
Real values 215...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014631.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.93351614 | Other : 0.06648383
Real values 216...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014627.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8986698 | Other : 0.10133022
Real values 217...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014649.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.9064339 | Other : 0.09356608
Real values 218...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014645.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.83833385 | Other : 0.16166621
Real values 219...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014675.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.90288454 | Other : 0.097115524
Real values 220...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014666.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89710706 | Other : 0.10289296
Real values 221...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014663.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8990479 | Other : 0.10095204
Real values 222...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014687.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89934045 | Other : 0.10065959
Real values 223...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014677.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8712395 | Other : 0.1287605
Real values 224...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014698.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8925623 | Other : 0.10743761
Real values 225...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014703.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8568379 | Other : 0.143162
Real values 226...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014697.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89569306 | Other : 0.10430698
Real values 227...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014695.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.85708123 | Other : 0.14291881
Real values 228...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014693.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88998616 | Other : 0.11001383
Real values 229...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014740.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8931468 | Other : 0.106853224
Real values 230...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014725.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.898175 | Other : 0.101825
Real values 231...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014720.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89396584 | Other : 0.10603418
Real values 232...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014729.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8570295 | Other : 0.14297056
Real values 233...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014743.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8949392 | Other : 0.105060786
Real values 234...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014727.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89253074 | Other : 0.10746931
Real values 235...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014728.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.892182 | Other : 0.10781806
Real values 236...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014746.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8932706 | Other : 0.106729366
Real values 237...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014749.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8925368 | Other : 0.10746318
Real values 238...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014766.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8978674 | Other : 0.10213263
Real values 239...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014768.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89370966 | Other : 0.1062904
Real values 240...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014765.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.90071577 | Other : 0.09928429
Real values 241...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014753.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89311075 | Other : 0.106889196
Real values 242...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014755.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89258456 | Other : 0.107415415
Real values 243...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014790.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8936366 | Other : 0.10636336
Real values 244...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014772.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8978465 | Other : 0.10215342
Real values 245...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014786.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89345264 | Other : 0.10654739
Real values 246...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014784.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8935426 | Other : 0.10645743
Real values 247...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014773.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8915409 | Other : 0.10845912
Real values 248...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014780.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89914495 | Other : 0.10085503
Real values 249...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014787.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89295924 | Other : 0.107040755
Real values 250...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014814.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89568543 | Other : 0.10431459
Real values 251...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014800.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.899445 | Other : 0.10055499
Real values 252...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014796.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89318323 | Other : 0.10681683
Real values 253...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014798.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89229953 | Other : 0.10770041
Real values 254...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014807.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89710987 | Other : 0.10289011
Real values 255...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014792.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89212483 | Other : 0.107875176
Real values 256...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014826.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8917338 | Other : 0.10826612
Real values 257...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014815.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8729765 | Other : 0.1270235
Real values 258...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014835.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8933846 | Other : 0.10661537
Real values 259...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014844.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8941179 | Other : 0.10588206
Real values 260...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014820.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89849997 | Other : 0.10150005
Real values 261...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014833.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8775134 | Other : 0.12248659
Real values 262...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014822.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8945821 | Other : 0.10541791
Real values 263...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014862.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89684266 | Other : 0.10315738
Real values 264...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014867.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.85224307 | Other : 0.14775693
Real values 265...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014853.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8929921 | Other : 0.10700788
Real values 266...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014868.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8926317 | Other : 0.107368335
Real values 267...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014854.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8920888 | Other : 0.1079112
Real values 268...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014863.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89613 | Other : 0.10386993
Real values 269...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014879.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.899996 | Other : 0.10000403
Real values 270...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014876.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89265114 | Other : 0.10734888
Real values 271...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014907.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8928522 | Other : 0.107147776
Real values 272...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014901.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8927472 | Other : 0.10725282
Real values 273...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014883.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8914657 | Other : 0.10853426
Real values 274...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014872.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8556552 | Other : 0.14434479
Real values 275...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014921.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89574575 | Other : 0.104254216
Real values 276...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014928.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.81005335 | Other : 0.18994668
Real values 277...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014932.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88375205 | Other : 0.116247915
Real values 278...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014927.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.892561 | Other : 0.10743896
Real values 279...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014912.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.893275 | Other : 0.106724955
Real values 280...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014910.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8931857 | Other : 0.106814265
Real values 281...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014941.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8916622 | Other : 0.10833785
Real values 282...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014943.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.9012352 | Other : 0.09876483
Real values 283...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014938.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8948155 | Other : 0.10518448
Real values 284...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014936.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89401186 | Other : 0.105988175
Real values 285...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014942.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.86466455 | Other : 0.13533542
Real values 286...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014940.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88549894 | Other : 0.11450102
Real values 287...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014949.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8933745 | Other : 0.10662548
Real values 288...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014947.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8917966 | Other : 0.108203374
Real values 289...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014948.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89530534 | Other : 0.10469466
Real values 290...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014952.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89195853 | Other : 0.10804145
Real values 291...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014944.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8962482 | Other : 0.10375177
Real values 292...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014956.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89258647 | Other : 0.10741354
Real values 293...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014955.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8523262 | Other : 0.1476738
Real values 294...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014957.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89678186 | Other : 0.103218146
Real values 295...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014959.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8538671 | Other : 0.14613293
Real values 296...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014961.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89687854 | Other : 0.1031215
Real values 297...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014958.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89216137 | Other : 0.10783866
Real values 298...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014964.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89306426 | Other : 0.1069357
Real values 299...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014962.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.892259 | Other : 0.10774102
Real values 300...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014966.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8934633 | Other : 0.10653667
Real values 301...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014969.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8919774 | Other : 0.10802256
Real values 302...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014963.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8926327 | Other : 0.107367285
Real values 303...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014968.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8933007 | Other : 0.106699295
Real values 304...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014974.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8970814 | Other : 0.102918565
Real values 305...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014982.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8821324 | Other : 0.117867656
Real values 306...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014973.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8921718 | Other : 0.10782813
Real values 307...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014977.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8980875 | Other : 0.10191252
Real values 308...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014994.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8958438 | Other : 0.10415618
Real values 309...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014992.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8951022 | Other : 0.104897775
Real values 310...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014998.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8923887 | Other : 0.107611336
Real values 311...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015004.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8926653 | Other : 0.10733468
Real values 312...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015007.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89405805 | Other : 0.105941944
Real values 313...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015002.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89268297 | Other : 0.10731702
Real values 314...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015003.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89219195 | Other : 0.10780803
Real values 315...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015008.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89703435 | Other : 0.10296566
Real values 316...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015013.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.99147147 | Other : 0.008528515
Real values 317...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015011.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8929043 | Other : 0.10709574
Real values 318...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015009.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.893878 | Other : 0.10612204
Real values 319...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015019.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.92264277 | Other : 0.077357225
Real values 320...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015020.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8945972 | Other : 0.10540284
Real values 321...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015018.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.87776345 | Other : 0.12223651
Real values 322...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015016.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89641094 | Other : 0.10358905
Real values 323...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015015.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8936483 | Other : 0.1063517
Real values 324...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015030.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8944974 | Other : 0.10550258
Real values 325...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015034.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.9026299 | Other : 0.097370066
Real values 326...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015031.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89187604 | Other : 0.108123995
Real values 327...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015021.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.9282176 | Other : 0.07178235
Real values 328...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015023.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89274424 | Other : 0.10725579
Real values 329...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015026.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8753426 | Other : 0.12465733
Real values 330...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015035.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.81012917 | Other : 0.1898708
Real values 331...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015041.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8983193 | Other : 0.101680696
Real values 332...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015037.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89313805 | Other : 0.106861986
Real values 333...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015040.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89776534 | Other : 0.10223469
Real values 334...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015060.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89703065 | Other : 0.102969356
Real values 335...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015046.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8935079 | Other : 0.106492035
Real values 336...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015056.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89712965 | Other : 0.10287033
Real values 337...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015057.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89677614 | Other : 0.10322388
Real values 338...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015051.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89641243 | Other : 0.10358759
Real values 339...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015050.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.99660623 | Other : 0.0033937758
Real values 340...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015089.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89221525 | Other : 0.1077847
Real values 341...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015078.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8650813 | Other : 0.13491866
Real values 342...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015102.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8967684 | Other : 0.10323167
Real values 343...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015064.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8468472 | Other : 0.15315284
Real values 344...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015115.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8943884 | Other : 0.105611674
Real values 345...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015118.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89294165 | Other : 0.10705833
Real values 346...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015071.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8916172 | Other : 0.108382866
Real values 347...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015129.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8731434 | Other : 0.12685667
Real values 348...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015127.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.85572594 | Other : 0.144274
Real values 349...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015125.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89259225 | Other : 0.10740769
Real values 350...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015130.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8919375 | Other : 0.10806247
Real values 351...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015132.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8926791 | Other : 0.107320935
Real values 352...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015119.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8891921 | Other : 0.110807896
Real values 353...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015142.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8928894 | Other : 0.107110605
Real values 354...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015146.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89303344 | Other : 0.10696657
Real values 355...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015139.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8966684 | Other : 0.10333161
Real values 356...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015140.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8932344 | Other : 0.106765606
Real values 357...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015136.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8941928 | Other : 0.10580715
Real values 358...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015133.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8918269 | Other : 0.10817308
Real values 359...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015156.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.86204076 | Other : 0.13795924
Real values 360...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015150.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8933898 | Other : 0.1066102
Real values 361...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015160.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.9076082 | Other : 0.09239178
Real values 362...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015157.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89627224 | Other : 0.10372774
Real values 363...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015149.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8929391 | Other : 0.10706091
Real values 364...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015152.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8918516 | Other : 0.10814838
Real values 365...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015155.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.887975 | Other : 0.112025015
Real values 366...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015175.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89719516 | Other : 0.10280484
Real values 367...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015167.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8934555 | Other : 0.106544554
Real values 368...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015163.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8985262 | Other : 0.1014738
Real values 369...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015174.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89705145 | Other : 0.1029486
Real values 370...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015173.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8945961 | Other : 0.1054039
Real values 371...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015161.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8949035 | Other : 0.10509653
Real values 372...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015171.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.967224 | Other : 0.03277599
Real values 373...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015176.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8935582 | Other : 0.106441855
Real values 374...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015185.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88127166 | Other : 0.118728384
Real values 375...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015193.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8927932 | Other : 0.1072068
Real values 376...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015184.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89835924 | Other : 0.10164081
Real values 377...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015179.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8975645 | Other : 0.10243553
Real values 378...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015180.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.9884688 | Other : 0.011531198
Real values 379...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015208.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89367926 | Other : 0.106320776
Real values 380...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015212.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89991874 | Other : 0.10008124
Real values 381...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015206.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89798933 | Other : 0.10201067
Real values 382...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015203.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8928343 | Other : 0.10716569
Real values 383...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015207.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8937178 | Other : 0.10628213
Real values 384...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015201.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89468217 | Other : 0.10531778
Real values 385...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015202.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8926852 | Other : 0.10731481
Real values 386...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015224.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89258915 | Other : 0.10741092
Real values 387...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015217.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.87817043 | Other : 0.12182959
Real values 388...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015223.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.79527134 | Other : 0.20472868
Real values 389...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015218.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.90135354 | Other : 0.09864647
Real values 390...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015226.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.90135616 | Other : 0.09864383
Real values 391...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015216.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8934725 | Other : 0.10652751
Real values 392...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015215.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89477175 | Other : 0.10522818
Real values 393...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015244.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8981932 | Other : 0.10180677
Real values 394...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015229.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89815855 | Other : 0.10184142
Real values 395...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015245.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.999997 | Other : 3.0248564e-06
Real values 396...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015232.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.90056014 | Other : 0.09943979
Real values 397...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015237.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8932626 | Other : 0.10673737
Real values 398...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015241.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8916384 | Other : 0.108361624
Real values 399...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015254.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89187235 | Other : 0.10812769
Real values 400...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015251.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89448756 | Other : 0.1055125
Real values 401...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015255.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89740336 | Other : 0.10259662
Real values 402...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015250.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8914955 | Other : 0.10850446
Real values 403...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015258.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8923485 | Other : 0.1076515
Real values 404...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015264.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.9009299 | Other : 0.09907009
Real values 405...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015283.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89552295 | Other : 0.10447703
Real values 406...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015270.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.87283033 | Other : 0.12716964
Real values 407...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015274.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.9227221 | Other : 0.07727792
Real values 408...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015279.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.9017779 | Other : 0.098222025
Real values 409...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015276.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.90329957 | Other : 0.09670042
Real values 410...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015291.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89588207 | Other : 0.10411788
Real values 411...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015273.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.7691117 | Other : 0.23088835
Real values 412...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015293.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8067234 | Other : 0.19327657
Real values 413...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015311.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8947669 | Other : 0.10523307
Real values 414...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015310.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.860366 | Other : 0.139634
Real values 415...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015298.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89843696 | Other : 0.10156301
Real values 416...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015309.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.9742854 | Other : 0.025714623
Real values 417...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015312.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89288205 | Other : 0.107118
Real values 418...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015357.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.830122 | Other : 0.16987795
Real values 419...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015353.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8964711 | Other : 0.10352894
Real values 420...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015331.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.9026088 | Other : 0.09739124
Real values 421...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015347.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8956858 | Other : 0.104314215
Real values 422...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015330.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89865774 | Other : 0.10134223
Real values 423...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015355.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8930187 | Other : 0.106981285
Real values 424...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015369.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.9339098 | Other : 0.06609021
Real values 425...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015368.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88772935 | Other : 0.11227064
Real values 426...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015383.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8996464 | Other : 0.10035361
Real values 427...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015386.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8915622 | Other : 0.10843783
Real values 428...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015363.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.830287 | Other : 0.16971304
Real values 429...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015364.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8925815 | Other : 0.10741846
Real values 430...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015360.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8918123 | Other : 0.10818769
Real values 431...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015403.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8932918 | Other : 0.10670828
Real values 432...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015395.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8923963 | Other : 0.107603736
Real values 433...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015412.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8915931 | Other : 0.108406946
Real values 434...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015411.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.7964039 | Other : 0.20359609
Real values 435...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015390.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89626545 | Other : 0.103734575
Real values 436...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015404.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89575243 | Other : 0.10424753
Real values 437...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015416.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8701785 | Other : 0.12982151
Real values 438...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015419.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8632145 | Other : 0.13678546
Real values 439...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015436.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.9036912 | Other : 0.09630886
Real values 440...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015418.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8926298 | Other : 0.10737021
Real values 441...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015440.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89695495 | Other : 0.10304501
Real values 442...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015417.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.9024755 | Other : 0.09752454
Real values 443...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015447.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.99999905 | Other : 9.529833e-07
Real values 444...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015481.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89425087 | Other : 0.10574915
Real values 445...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015464.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88632303 | Other : 0.11367696
Real values 446...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015468.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.7915233 | Other : 0.20847668
Real values 447...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015455.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.88571906 | Other : 0.11428092
Real values 448...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015476.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8916249 | Other : 0.10837508
Real values 449...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015466.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8934611 | Other : 0.10653892
Real values 450...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015482.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8956746 | Other : 0.1043254
Real values 451...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015544.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89642185 | Other : 0.103578135
Real values 452...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015510.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.9040539 | Other : 0.09594609
Real values 453...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015563.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8599242 | Other : 0.14007576
Real values 454...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015526.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.90536124 | Other : 0.094638795
Real values 455...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015485.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.895581 | Other : 0.10441901
Real values 456...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015537.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8949418 | Other : 0.10505824
Real values 457...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015559.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.892969 | Other : 0.107030965
Real values 458...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015603.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8609782 | Other : 0.13902181
Real values 459...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015568.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89455897 | Other : 0.10544103
Real values 460...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015566.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8928066 | Other : 0.1071934
Real values 461...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015614.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8922224 | Other : 0.1077776
Real values 462...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015593.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8920704 | Other : 0.107929565
Real values 463...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015582.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8929292 | Other : 0.1070708
Real values 464...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015607.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8931256 | Other : 0.10687443
Real values 465...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015636.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8849541 | Other : 0.115045965
Real values 466...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015625.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8962366 | Other : 0.10376335
Real values 467...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015617.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89309233 | Other : 0.10690765
Real values 468...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015645.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89851165 | Other : 0.10148832
Real values 469...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015638.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.86161625 | Other : 0.1383837
Real values 470...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015641.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8922287 | Other : 0.10777125
Real values 471...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015631.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8961248 | Other : 0.10387517
Real values 472...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015939.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8926733 | Other : 0.10732674
Real values 473...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015938.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8918741 | Other : 0.10812591
Real values 474...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015936.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8974109 | Other : 0.102589026
Real values 475...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015941.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.90434116 | Other : 0.095658876
Real values 476...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015947.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89232326 | Other : 0.10767672
Real values 477...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015944.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 1.0 | Other : 4.2831705e-10
Real values 478...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015943.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89404064 | Other : 0.105959326
Real values 479...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015940.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.83946437 | Other : 0.16053565
Real values 480...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015945.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89242625 | Other : 0.107573755
Real values 481...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015937.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.86188066 | Other : 0.13811933
Real values 482...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015942.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89104354 | Other : 0.10895652
Real values 483...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015946.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8916127 | Other : 0.10838724
Real values 484...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015956.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8943469 | Other : 0.10565309
Real values 485...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015950.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89241856 | Other : 0.10758136
Real values 486...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015955.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89094615 | Other : 0.109053895
Real values 487...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015949.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.9896902 | Other : 0.010309779
Real values 488...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015951.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89296216 | Other : 0.10703779
Real values 489...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015954.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8929003 | Other : 0.107099704
Real values 490...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015953.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8959082 | Other : 0.10409178
Real values 491...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015959.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8909856 | Other : 0.109014414
Real values 492...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015958.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.85683495 | Other : 0.14316504
Real values 493...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015952.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 1.0 | Other : 2.7914476e-14
Real values 494...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015960.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.7110036 | Other : 0.28899643
Real values 495...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015948.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.9017567 | Other : 0.098243296
Real values 496...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015957.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8596729 | Other : 0.14032714
Real values 497...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015962.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.891209 | Other : 0.108791016
Real values 498...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015965.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89092606 | Other : 0.10907389
Real values 499...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015961.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8909565 | Other : 0.10904345
Real values 500...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015972.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89119357 | Other : 0.10880641
Real values 501...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015963.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.99533254 | Other : 0.0046674106
Real values 502...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015968.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.9986411 | Other : 0.0013589141
Real values 503...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015969.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8910243 | Other : 0.10897569
Real values 504...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015971.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.890929 | Other : 0.10907102
Real values 505...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015973.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8925378 | Other : 0.107462294
Real values 506...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015964.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8920055 | Other : 0.1079945
Real values 507...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015966.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.81742775 | Other : 0.1825722
Real values 508...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015967.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8922729 | Other : 0.1077271
Real values 509...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015986.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8063038 | Other : 0.19369625
Real values 510...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015981.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89085966 | Other : 0.10914031
Real values 511...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015982.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8912196 | Other : 0.108780384
Real values 512...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015980.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89096695 | Other : 0.10903308
Real values 513...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015974.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89373076 | Other : 0.106269196
Real values 514...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015985.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8907501 | Other : 0.109249905
Real values 515...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015976.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8909795 | Other : 0.10902051
Real values 516...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015979.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8637411 | Other : 0.13625887
Real values 517...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015978.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8950471 | Other : 0.104952924
Real values 518...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015987.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.77381206 | Other : 0.22618793
Real values 519...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015975.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8908658 | Other : 0.10913415
Real values 520...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015984.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8908523 | Other : 0.10914773
Real values 521...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015983.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8908247 | Other : 0.10917537
Real values 522...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015998.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 1.0 | Other : 1.5247598e-15
Real values 523...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015988.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89069015 | Other : 0.10930983
Real values 524...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015992.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8909937 | Other : 0.109006226
Real values 525...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015991.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8909259 | Other : 0.1090741
Real values 526...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015993.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89080507 | Other : 0.109194875
Real values 527...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015995.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89177173 | Other : 0.10822825
Real values 528...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015990.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89247245 | Other : 0.10752759
Real values 529...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015997.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8908734 | Other : 0.109126635
Real values 530...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015994.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89084506 | Other : 0.10915494
Real values 531...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015989.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8906437 | Other : 0.10935629
Real values 532...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015996.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89089686 | Other : 0.10910313
Real values 533...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016006.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8919606 | Other : 0.10803941
Real values 534...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016004.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89321744 | Other : 0.10678254
Real values 535...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016002.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89286995 | Other : 0.10712998
Real values 536...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016003.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.9890142 | Other : 0.010985808
Real values 537...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016011.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8911428 | Other : 0.10885718
Real values 538...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016009.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89093536 | Other : 0.109064646
Real values 539...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016005.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89194834 | Other : 0.10805167
Real values 540...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016008.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8913085 | Other : 0.1086915
Real values 541...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016000.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89127576 | Other : 0.10872426
Real values 542...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015999.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 1.0 | Other : 1.9680998e-08
Real values 543...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016007.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 1.0 | Other : 2.7745373e-13
Real values 544...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016001.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8810678 | Other : 0.118932135
Real values 545...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016015.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8907558 | Other : 0.10924425
Real values 546...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016019.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.81148046 | Other : 0.18851955
Real values 547...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016022.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89738166 | Other : 0.10261836
Real values 548...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016014.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89107627 | Other : 0.108923785
Real values 549...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016012.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.90195197 | Other : 0.09804799
Real values 550...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016016.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.9999447 | Other : 5.5298016e-05
Real values 551...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016018.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.85330015 | Other : 0.14669983
Real values 552...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016024.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8908792 | Other : 0.10912071
Real values 553...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016017.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8906422 | Other : 0.109357744
Real values 554...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016023.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8911835 | Other : 0.108816445
Real values 555...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016013.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.7962318 | Other : 0.20376818
Real values 556...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016030.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8906859 | Other : 0.1093141
Real values 557...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016033.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89319617 | Other : 0.10680386
Real values 558...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016034.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8907246 | Other : 0.10927546
Real values 559...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016025.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8917826 | Other : 0.10821743
Real values 560...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016028.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8910454 | Other : 0.10895458
Real values 561...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016027.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.90079623 | Other : 0.099203736
Real values 562...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016026.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.86684966 | Other : 0.13315034
Real values 563...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016029.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89087677 | Other : 0.1091232
Real values 564...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016031.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8908023 | Other : 0.10919769
Real values 565...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016035.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8913982 | Other : 0.10860179
Real values 566...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016041.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89239484 | Other : 0.10760518
Real values 567...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016038.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89614356 | Other : 0.10385649
Real values 568...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016036.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89295274 | Other : 0.10704728
Real values 569...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016043.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8945095 | Other : 0.105490476
Real values 570...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016046.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8975024 | Other : 0.1024976
Real values 571...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016037.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8908659 | Other : 0.10913413
Real values 572...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016045.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89101076 | Other : 0.10898922
Real values 573...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016044.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8926046 | Other : 0.10739534
Real values 574...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016040.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8912589 | Other : 0.10874107
Real values 575...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016042.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.892586 | Other : 0.10741405
Real values 576...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016048.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.890625 | Other : 0.10937498
Real values 577...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016059.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89114046 | Other : 0.10885956
Real values 578...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016054.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8952136 | Other : 0.10478636
Real values 579...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016057.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8913192 | Other : 0.10868078
Real values 580...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016052.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89095813 | Other : 0.10904188
Real values 581...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016055.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8912481 | Other : 0.10875186
Real values 582...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016058.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 1.0 | Other : 4.066025e-08
Real values 583...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016051.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8908763 | Other : 0.10912366
Real values 584...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016049.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89110494 | Other : 0.10889509
Real values 585...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016053.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 1.0 | Other : 4.766386e-11
Real values 586...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016050.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8931405 | Other : 0.106859505
Real values 587...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016056.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 1.0 | Other : 6.057905e-13
Real values 588...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016070.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.9453498 | Other : 0.0546502
Real values 589...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016063.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8909454 | Other : 0.10905462
Real values 590...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016065.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 1.0 | Other : 9.7019784e-14
Real values 591...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016062.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89283264 | Other : 0.10716742
Real values 592...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016069.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8915536 | Other : 0.10844645
Real values 593...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016072.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8967103 | Other : 0.10328978
Real values 594...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016064.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 1.0 | Other : 2.9969718e-12
Real values 595...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016060.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89351773 | Other : 0.10648231
Real values 596...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016061.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.893008 | Other : 0.10699205
Real values 597...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016071.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.89165187 | Other : 0.10834817
Real values 598...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016068.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 0.8948846 | Other : 0.105115436
Real values 599...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016066.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb267492e90>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5
Model Weights:
None
Prediction... Melanoma : 1.0 | Other : 1.4443084e-10
Real values 600...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
print("Accuracy = %2.2f%%" % (np.mean(correct_Inception_Test)*100))
Accuracy = 80.50%
# Re-ordering the actual y (for ROC)
y_true_2_Inception_Test = []
for i in range(len(y_true_Inception_Test)):
y_true_2_Inception_Test.append(y_true_Inception_Test[i][0])
# Re-ordering the predicte y (for ROC)
y_score_2_Inception_Test = []
for i in range(len(y_score_Inception_Test)):
y_score_2_Inception_Test.append(y_score_Inception_Test[i][0])
plot_roc(y_true_2_Inception_Test, y_score_2_Inception_Test)
def positive_negative_measurement(y_true, y_score):
# Initialization
TRUE_POSITIVE = 0
FALSE_POSITIVE = 0
TRUE_NEGATIVE = 0
FALSE_NEGATIVE = 0
# Calculating the model
for i in range(len(y_score)):
if y_true[i] == y_score[i] == 1:
TRUE_POSITIVE += 1
if (y_score[i] == 1) and (y_true[i] != y_score[i]):
FALSE_POSITIVE += 1
if y_true[i] == y_score[i] == 0:
TRUE_NEGATIVE += 1
if (y_score[i] == 0) and (y_true[i] != y_score[i]):
FALSE_NEGATIVE += 1
return(TRUE_POSITIVE, FALSE_POSITIVE, TRUE_NEGATIVE, FALSE_NEGATIVE)
TRUE_POSITIVE_Inception_Test, FALSE_POSITIVE_Inception_Test, TRUE_NEGATIVE_Inception_Test, FALSE_NEGATIVE_Inception_Test = positive_negative_measurement(y_true_2_Inception_Test, y_score_2_Inception_Test)
postives_negatives_Inception_Test = [[TRUE_POSITIVE_Inception_Test, FALSE_POSITIVE_Inception_Test],
[FALSE_NEGATIVE_Inception_Test, TRUE_NEGATIVE_Inception_Test]]
sns.set()
labels_Inception_Test = np.array([['True positive: ' + str(TRUE_POSITIVE_Inception_Test),
'False positive: ' + str(FALSE_POSITIVE_Inception_Test)],
['False negative: ' + str(FALSE_NEGATIVE_Inception_Test),
'True negative: ' + str(TRUE_POSITIVE_Inception_Test)]])
plt.figure(figsize = (13, 10))
sns.heatmap(postives_negatives_Inception_Test, annot = labels_Inception_Test, linewidths = 0.1, fmt="", cmap = 'RdYlGn')
<matplotlib.axes._subplots.AxesSubplot at 0x7fb26692e810>
# Sensitivity | Recall | hit rate | true positive rate (TPR)
sensitivity_Inception_Test = TRUE_POSITIVE_Inception_Test / (TRUE_POSITIVE_Inception_Test + FALSE_NEGATIVE_Inception_Test)
print("Sensitivity: ", sensitivity_Inception_Test)
Sensitivity: 1.0
# Specificity | selectivity | true negative rate (TNR)
try:
specifity_Inception_Test = TRUE_NEGATIVE_Inception_Test / (TRUE_NEGATIVE_Inception_Test + FALSE_NEGATIVE_Inception_Test)
print("Specifity: ", specifity_Inception_Test)
except:
print("No Specificity due to NO NEGATIVE results.")
No Specificity due to NO NEGATIVE results.
# Precision | positive predictive value (PPV)
predcision_Inception_Test = TRUE_POSITIVE_Inception_Test / (TRUE_POSITIVE_Inception_Test + FALSE_POSITIVE_Inception_Test)
print("Precision: ", predcision_Inception_Test)
Precision: 0.805
# Negative predictive value (NPV)
try:
npv_Inception_Test = TRUE_NEGATIVE_Inception_Test / (TRUE_NEGATIVE_Inception_Test + FALSE_NEGATIVE_Inception_Test)
print("Negative predictive value: ", npv_Inception_Test)
except:
print("0 Negative Predictions")
0 Negative Predictions
# Accuracy
accuracy_Inception_Test = (TRUE_POSITIVE_Inception_Test + TRUE_NEGATIVE_Inception_Test) / (TRUE_POSITIVE_Inception_Test + FALSE_POSITIVE_Inception_Test + TRUE_NEGATIVE_Inception_Test + FALSE_NEGATIVE_Inception_Test)
print("Accuracy: ", accuracy_Inception_Test)
Accuracy: 0.805
# Compute test set predictions
NUMBER_TEST_SAMPLES_Xception_Test = 600
xception_architecture_function = xception_architecture()
xception_architecture_weight_path = "/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5"
y_true_Xception_Test = test_targets[:NUMBER_TEST_SAMPLES_Xception_Test]
y_score_Xception_Test = []
for index in range(NUMBER_TEST_SAMPLES_Xception_Test): #compute one at a time due to memory constraints
probs_Xception_Test = predict(img_path = test_files[index], model_architecture = xception_architecture_function, path_model_weight = xception_architecture_weight_path)
print("Real values {}...".format(index+1) + "Melanoma : ", test_targets[index][0], " | Other : ", test_targets[index][1])
print("---------------------------------------------------------------------------")
y_score_Xception_Test.append(probs_Xception_Test)
correct_Xception_Test = np.array(y_true_Xception_Test) == np.array(y_score_Xception_Test)
Streaming output truncated to the last 5000 lines.
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013414.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022198 | Other : 0.3977802
Real values 101...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013325.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60225385 | Other : 0.39774615
Real values 102...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013457.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60235906 | Other : 0.3976409
Real values 103...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013321.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023053 | Other : 0.39769477
Real values 104...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013455.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60225856 | Other : 0.39774138
Real values 105...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013374.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023496 | Other : 0.39765048
Real values 106...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013411.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60241616 | Other : 0.39758384
Real values 107...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013465.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60222065 | Other : 0.39777935
Real values 108...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013678.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024244 | Other : 0.3975756
Real values 109...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013696.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60237026 | Other : 0.3976297
Real values 110...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013511.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023272 | Other : 0.39767274
Real values 111...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013615.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022811 | Other : 0.39771897
Real values 112...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013588.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60225356 | Other : 0.39774644
Real values 113...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013617.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022831 | Other : 0.39771682
Real values 114...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013529.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60226506 | Other : 0.3977349
Real values 115...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013577.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022078 | Other : 0.39779222
Real values 116...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013636.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022461 | Other : 0.39775386
Real values 117...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013602.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60243547 | Other : 0.39756453
Real values 118...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013673.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60226613 | Other : 0.39773387
Real values 119...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013512.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60228246 | Other : 0.39771757
Real values 120...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013600.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60253936 | Other : 0.39746064
Real values 121...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013565.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022557 | Other : 0.39774427
Real values 122...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013813.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022641 | Other : 0.3977359
Real values 123...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013733.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022512 | Other : 0.39774883
Real values 124...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013766.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022067 | Other : 0.39779326
Real values 125...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013764.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023411 | Other : 0.39765894
Real values 126...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013767.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022756 | Other : 0.39772442
Real values 127...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013739.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023313 | Other : 0.39766872
Real values 128...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013794.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60234654 | Other : 0.39765346
Real values 129...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013708.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022044 | Other : 0.39779565
Real values 130...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013833.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023809 | Other : 0.39761913
Real values 131...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013738.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022552 | Other : 0.3977448
Real values 132...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013814.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022335 | Other : 0.3977665
Real values 133...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013809.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60217786 | Other : 0.39782214
Real values 134...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013842.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60240436 | Other : 0.39759564
Real values 135...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013867.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022524 | Other : 0.39774755
Real values 136...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013908.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60222876 | Other : 0.3977712
Real values 137...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013897.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60219866 | Other : 0.3978013
Real values 138...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013911.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60222715 | Other : 0.39777285
Real values 139...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013977.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022329 | Other : 0.3977671
Real values 140...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013917.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6021927 | Other : 0.39780727
Real values 141...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013987.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60227317 | Other : 0.39772683
Real values 142...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013988.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022576 | Other : 0.39774236
Real values 143...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013966.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60227233 | Other : 0.39772767
Real values 144...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013953.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024925 | Other : 0.39750752
Real values 145...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013948.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60227513 | Other : 0.39772487
Real values 146...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013891.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60234 | Other : 0.39766008
Real values 147...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013998.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022516 | Other : 0.39774838
Real values 148...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013925.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022898 | Other : 0.39771017
Real values 149...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014103.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6021923 | Other : 0.39780778
Real values 150...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014006.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60227615 | Other : 0.39772385
Real values 151...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014177.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60229146 | Other : 0.3977086
Real values 152...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014148.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022186 | Other : 0.39778134
Real values 153...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014129.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022088 | Other : 0.39779118
Real values 154...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014160.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60221213 | Other : 0.39778787
Real values 155...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014117.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60222614 | Other : 0.39777386
Real values 156...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014090.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6021697 | Other : 0.39783034
Real values 157...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014186.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6021871 | Other : 0.3978129
Real values 158...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014110.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60220385 | Other : 0.39779612
Real values 159...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014181.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022225 | Other : 0.39777747
Real values 160...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014077.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022453 | Other : 0.3977548
Real values 161...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014027.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022935 | Other : 0.39770648
Real values 162...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014059.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6026999 | Other : 0.3973001
Real values 163...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014336.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.602257 | Other : 0.397743
Real values 164...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014319.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60220283 | Other : 0.39779717
Real values 165...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014255.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.602225 | Other : 0.39777496
Real values 166...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014270.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022269 | Other : 0.39777312
Real values 167...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014369.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60223645 | Other : 0.39776355
Real values 168...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014349.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022442 | Other : 0.39775574
Real values 169...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014251.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60221845 | Other : 0.39778155
Real values 170...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014221.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60222703 | Other : 0.397773
Real values 171...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014278.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60218114 | Other : 0.39781886
Real values 172...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014288.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.602217 | Other : 0.39778298
Real values 173...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014233.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022038 | Other : 0.3977962
Real values 174...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014219.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60221416 | Other : 0.39778587
Real values 175...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014284.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022278 | Other : 0.39777225
Real values 176...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014386.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023124 | Other : 0.39768767
Real values 177...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014423.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6021915 | Other : 0.39780855
Real values 178...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014470.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60238266 | Other : 0.39761734
Real values 179...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014489.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.602456 | Other : 0.39754397
Real values 180...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014392.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023356 | Other : 0.39766446
Real values 181...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014503.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022806 | Other : 0.3977194
Real values 182...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014500.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6021995 | Other : 0.39780048
Real values 183...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014419.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.602218 | Other : 0.39778203
Real values 184...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014454.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023415 | Other : 0.39765853
Real values 185...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014457.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6021816 | Other : 0.39781842
Real values 186...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014434.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022271 | Other : 0.39777294
Real values 187...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014474.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60220134 | Other : 0.39779863
Real values 188...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014506.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.602233 | Other : 0.397767
Real values 189...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014478.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60226583 | Other : 0.3977342
Real values 190...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014409.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022328 | Other : 0.39776722
Real values 191...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014567.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023649 | Other : 0.39763507
Real values 192...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014574.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023003 | Other : 0.3976997
Real values 193...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014541.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.602217 | Other : 0.39778298
Real values 194...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014513.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60218376 | Other : 0.39781624
Real values 195...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014600.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024733 | Other : 0.39752668
Real values 196...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014586.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024369 | Other : 0.3975631
Real values 197...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014587.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023738 | Other : 0.39762625
Real values 198...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014542.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023282 | Other : 0.3976718
Real values 199...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014588.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023603 | Other : 0.39763966
Real values 200...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014559.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022185 | Other : 0.3977815
Real values 201...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014619.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023128 | Other : 0.39768723
Real values 202...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014575.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022979 | Other : 0.39770213
Real values 203...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014546.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022103 | Other : 0.39778972
Real values 204...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014548.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60220724 | Other : 0.39779276
Real values 205...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014590.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023636 | Other : 0.39763644
Real values 206...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014634.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023714 | Other : 0.3976286
Real values 207...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014644.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024936 | Other : 0.39750642
Real values 208...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014647.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60237956 | Other : 0.39762044
Real values 209...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014643.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023124 | Other : 0.3976876
Real values 210...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014652.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024151 | Other : 0.39758497
Real values 211...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014653.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024152 | Other : 0.39758483
Real values 212...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014629.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023181 | Other : 0.39768186
Real values 213...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014648.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60242534 | Other : 0.39757463
Real values 214...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014626.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023166 | Other : 0.39768335
Real values 215...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014631.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.602359 | Other : 0.39764103
Real values 216...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014627.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023147 | Other : 0.39768532
Real values 217...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014649.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60234725 | Other : 0.3976528
Real values 218...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014645.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023728 | Other : 0.39762717
Real values 219...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014675.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60248023 | Other : 0.39751983
Real values 220...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014666.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60238004 | Other : 0.39762
Real values 221...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014663.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6025814 | Other : 0.39741865
Real values 222...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014687.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024236 | Other : 0.39757642
Real values 223...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014677.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60254407 | Other : 0.39745596
Real values 224...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014698.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024848 | Other : 0.3975152
Real values 225...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014703.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60240126 | Other : 0.39759874
Real values 226...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014697.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023385 | Other : 0.39766148
Real values 227...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014695.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023644 | Other : 0.3976356
Real values 228...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014693.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60250884 | Other : 0.39749113
Real values 229...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014740.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6025397 | Other : 0.39746028
Real values 230...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014725.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023978 | Other : 0.3976022
Real values 231...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014720.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.602515 | Other : 0.397485
Real values 232...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014729.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60232925 | Other : 0.39767075
Real values 233...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014743.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024356 | Other : 0.39756444
Real values 234...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014727.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023451 | Other : 0.3976549
Real values 235...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014728.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6025013 | Other : 0.3974988
Real values 236...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014746.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60264415 | Other : 0.3973558
Real values 237...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014749.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024228 | Other : 0.3975772
Real values 238...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014766.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023818 | Other : 0.39761811
Real values 239...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014768.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6025442 | Other : 0.3974558
Real values 240...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014765.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024945 | Other : 0.3975055
Real values 241...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014753.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6025528 | Other : 0.3974472
Real values 242...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014755.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60241914 | Other : 0.39758092
Real values 243...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014790.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6027536 | Other : 0.39724648
Real values 244...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014772.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024479 | Other : 0.397552
Real values 245...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014786.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60249156 | Other : 0.39750844
Real values 246...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014784.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6025629 | Other : 0.3974371
Real values 247...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014773.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60231936 | Other : 0.39768067
Real values 248...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014780.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023709 | Other : 0.3976291
Real values 249...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014787.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60241383 | Other : 0.3975861
Real values 250...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014814.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024023 | Other : 0.3975977
Real values 251...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014800.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60245824 | Other : 0.39754173
Real values 252...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014796.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024937 | Other : 0.39750633
Real values 253...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014798.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023567 | Other : 0.3976434
Real values 254...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014807.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023799 | Other : 0.39762002
Real values 255...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014792.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022729 | Other : 0.3977271
Real values 256...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014826.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6026711 | Other : 0.39732894
Real values 257...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014815.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023873 | Other : 0.39761272
Real values 258...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014835.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60249805 | Other : 0.39750195
Real values 259...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014844.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6025268 | Other : 0.39747322
Real values 260...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014820.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60238546 | Other : 0.3976145
Real values 261...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014833.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024757 | Other : 0.39752433
Real values 262...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014822.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024861 | Other : 0.39751396
Real values 263...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014862.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023621 | Other : 0.3976379
Real values 264...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014867.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024063 | Other : 0.39759368
Real values 265...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014853.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60260564 | Other : 0.39739436
Real values 266...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014868.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023263 | Other : 0.39767376
Real values 267...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014854.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60249084 | Other : 0.3975092
Real values 268...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014863.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024521 | Other : 0.39754793
Real values 269...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014879.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024247 | Other : 0.3975753
Real values 270...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014876.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024148 | Other : 0.39758524
Real values 271...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014907.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60245466 | Other : 0.3975453
Real values 272...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014901.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024019 | Other : 0.39759806
Real values 273...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014883.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.602726 | Other : 0.39727405
Real values 274...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014872.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022677 | Other : 0.3977323
Real values 275...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014921.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60243624 | Other : 0.39756376
Real values 276...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014928.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60240096 | Other : 0.397599
Real values 277...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014932.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023979 | Other : 0.39760205
Real values 278...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014927.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6025226 | Other : 0.39747733
Real values 279...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014912.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6025472 | Other : 0.3974528
Real values 280...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014910.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6025536 | Other : 0.39744642
Real values 281...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014941.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.602628 | Other : 0.397372
Real values 282...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014943.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024554 | Other : 0.3975446
Real values 283...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014938.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60253876 | Other : 0.39746124
Real values 284...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014936.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024574 | Other : 0.3975426
Real values 285...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014942.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60237837 | Other : 0.39762166
Real values 286...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014940.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024255 | Other : 0.39757448
Real values 287...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014949.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6025406 | Other : 0.39745942
Real values 288...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014947.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6025276 | Other : 0.39747235
Real values 289...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014948.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.602402 | Other : 0.39759803
Real values 290...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014952.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60249305 | Other : 0.39750692
Real values 291...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014944.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60250324 | Other : 0.39749673
Real values 292...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014956.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024427 | Other : 0.39755732
Real values 293...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014955.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024051 | Other : 0.39759493
Real values 294...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014957.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6025231 | Other : 0.3974769
Real values 295...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014959.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60243845 | Other : 0.39756158
Real values 296...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014961.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60246885 | Other : 0.39753115
Real values 297...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014958.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024655 | Other : 0.39753452
Real values 298...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014964.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60247916 | Other : 0.3975208
Real values 299...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014962.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.602488 | Other : 0.39751202
Real values 300...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014966.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60255086 | Other : 0.3974492
Real values 301...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014969.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024265 | Other : 0.39757347
Real values 302...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014963.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60247475 | Other : 0.39752528
Real values 303...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014968.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60244197 | Other : 0.39755803
Real values 304...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014974.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024638 | Other : 0.39753625
Real values 305...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014982.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023717 | Other : 0.39762834
Real values 306...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014973.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024646 | Other : 0.39753535
Real values 307...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014977.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024898 | Other : 0.39751017
Real values 308...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014994.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024646 | Other : 0.39753538
Real values 309...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014992.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60252225 | Other : 0.39747775
Real values 310...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014998.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60242796 | Other : 0.397572
Real values 311...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015004.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60239327 | Other : 0.39760673
Real values 312...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015007.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6025213 | Other : 0.39747867
Real values 313...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015002.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60247815 | Other : 0.39752182
Real values 314...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015003.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023814 | Other : 0.39761856
Real values 315...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015008.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60272074 | Other : 0.39727923
Real values 316...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015013.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60250634 | Other : 0.3974936
Real values 317...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015011.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024914 | Other : 0.39750862
Real values 318...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015009.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6025889 | Other : 0.3974111
Real values 319...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015019.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60230905 | Other : 0.39769095
Real values 320...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015020.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.602369 | Other : 0.39763093
Real values 321...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015018.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60256475 | Other : 0.39743525
Real values 322...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015016.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60254693 | Other : 0.397453
Real values 323...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015015.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024261 | Other : 0.39757386
Real values 324...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015030.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60249937 | Other : 0.3975006
Real values 325...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015034.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60241544 | Other : 0.39758456
Real values 326...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015031.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60236114 | Other : 0.3976389
Real values 327...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015021.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60259414 | Other : 0.39740592
Real values 328...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015023.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024366 | Other : 0.39756337
Real values 329...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015026.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60239273 | Other : 0.39760727
Real values 330...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015035.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023816 | Other : 0.3976184
Real values 331...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015041.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024726 | Other : 0.39752737
Real values 332...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015037.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60255474 | Other : 0.39744526
Real values 333...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015040.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024682 | Other : 0.39753184
Real values 334...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015060.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023803 | Other : 0.3976197
Real values 335...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015046.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60239583 | Other : 0.39760414
Real values 336...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015056.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024705 | Other : 0.3975295
Real values 337...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015057.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024863 | Other : 0.3975137
Real values 338...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015051.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024535 | Other : 0.3975465
Real values 339...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015050.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60262835 | Other : 0.39737168
Real values 340...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015089.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6025079 | Other : 0.39749214
Real values 341...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015078.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60232204 | Other : 0.39767793
Real values 342...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015102.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60244244 | Other : 0.39755756
Real values 343...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015064.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60244083 | Other : 0.3975592
Real values 344...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015115.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6025562 | Other : 0.39744374
Real values 345...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015118.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024709 | Other : 0.39752913
Real values 346...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015071.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024477 | Other : 0.3975523
Real values 347...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015129.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024078 | Other : 0.3975922
Real values 348...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015127.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60244143 | Other : 0.3975586
Real values 349...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015125.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60258186 | Other : 0.39741817
Real values 350...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015130.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60254943 | Other : 0.3974505
Real values 351...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015132.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6025492 | Other : 0.39745083
Real values 352...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015119.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024133 | Other : 0.3975867
Real values 353...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015142.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60248405 | Other : 0.39751592
Real values 354...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015146.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60249037 | Other : 0.3975097
Real values 355...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015139.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6025371 | Other : 0.39746293
Real values 356...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015140.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024256 | Other : 0.39757442
Real values 357...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015136.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6025077 | Other : 0.39749223
Real values 358...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015133.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60251784 | Other : 0.3974822
Real values 359...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015156.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024914 | Other : 0.39750862
Real values 360...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015150.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023759 | Other : 0.39762405
Real values 361...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015160.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023564 | Other : 0.39764363
Real values 362...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015157.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.602461 | Other : 0.397539
Real values 363...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015149.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60248864 | Other : 0.3975114
Real values 364...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015152.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.602378 | Other : 0.39762202
Real values 365...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015155.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60240716 | Other : 0.3975928
Real values 366...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015175.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023827 | Other : 0.39761725
Real values 367...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015167.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024179 | Other : 0.39758205
Real values 368...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015163.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023744 | Other : 0.39762565
Real values 369...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015174.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60240316 | Other : 0.39759684
Real values 370...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015173.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024113 | Other : 0.39758867
Real values 371...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015161.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023924 | Other : 0.39760765
Real values 372...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015171.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6025535 | Other : 0.3974465
Real values 373...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015176.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6025033 | Other : 0.39749667
Real values 374...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015185.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60237765 | Other : 0.39762235
Real values 375...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015193.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6025459 | Other : 0.39745408
Real values 376...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015184.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60246384 | Other : 0.3975362
Real values 377...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015179.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.602369 | Other : 0.39763093
Real values 378...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015180.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023557 | Other : 0.39764434
Real values 379...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015208.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60254735 | Other : 0.39745265
Real values 380...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015212.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024359 | Other : 0.39756408
Real values 381...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015206.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024462 | Other : 0.39755374
Real values 382...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015203.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6025158 | Other : 0.39748424
Real values 383...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015207.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024387 | Other : 0.39756128
Real values 384...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015201.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60249543 | Other : 0.39750454
Real values 385...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015202.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60255384 | Other : 0.3974461
Real values 386...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015224.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023759 | Other : 0.39762408
Real values 387...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015217.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60241127 | Other : 0.3975888
Real values 388...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015223.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024152 | Other : 0.39758483
Real values 389...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015218.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024599 | Other : 0.39754006
Real values 390...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015226.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024196 | Other : 0.39758036
Real values 391...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015216.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6025232 | Other : 0.39747676
Real values 392...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015215.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024052 | Other : 0.39759478
Real values 393...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015244.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.602488 | Other : 0.39751202
Real values 394...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015229.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60258645 | Other : 0.39741358
Real values 395...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015245.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60267466 | Other : 0.3973253
Real values 396...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015232.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023572 | Other : 0.3976428
Real values 397...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015237.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60238624 | Other : 0.3976137
Real values 398...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015241.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60243195 | Other : 0.39756805
Real values 399...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015254.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60233057 | Other : 0.39766946
Real values 400...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015251.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60250807 | Other : 0.3974919
Real values 401...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015255.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.602488 | Other : 0.39751196
Real values 402...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015250.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60228616 | Other : 0.3977138
Real values 403...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015258.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024646 | Other : 0.3975354
Real values 404...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015264.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023729 | Other : 0.39762712
Real values 405...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015283.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60246146 | Other : 0.3975385
Real values 406...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015270.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60239285 | Other : 0.39760718
Real values 407...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015274.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60263073 | Other : 0.39736924
Real values 408...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015279.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60260653 | Other : 0.39739352
Real values 409...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015276.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.602401 | Other : 0.39759892
Real values 410...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015291.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024894 | Other : 0.39751056
Real values 411...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015273.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023878 | Other : 0.39761224
Real values 412...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015293.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023527 | Other : 0.3976473
Real values 413...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015311.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60241246 | Other : 0.3975875
Real values 414...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015310.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60258186 | Other : 0.3974181
Real values 415...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015298.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60245854 | Other : 0.39754146
Real values 416...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015309.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023586 | Other : 0.3976414
Real values 417...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015312.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60245866 | Other : 0.39754134
Real values 418...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015357.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60239255 | Other : 0.39760745
Real values 419...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015353.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60242355 | Other : 0.39757642
Real values 420...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015331.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024372 | Other : 0.39756274
Real values 421...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015347.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6025918 | Other : 0.39740816
Real values 422...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015330.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024779 | Other : 0.39752212
Real values 423...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015355.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024782 | Other : 0.39752176
Real values 424...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015369.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6025327 | Other : 0.39746734
Real values 425...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015368.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6025629 | Other : 0.39743716
Real values 426...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015383.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024663 | Other : 0.3975337
Real values 427...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015386.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.602388 | Other : 0.39761198
Real values 428...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015363.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60256493 | Other : 0.3974351
Real values 429...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015364.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60238534 | Other : 0.39761466
Real values 430...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015360.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6025674 | Other : 0.3974326
Real values 431...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015403.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024636 | Other : 0.39753637
Real values 432...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015395.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024201 | Other : 0.39757988
Real values 433...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015412.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023329 | Other : 0.39766714
Real values 434...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015411.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60236716 | Other : 0.39763284
Real values 435...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015390.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023734 | Other : 0.3976266
Real values 436...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015404.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023826 | Other : 0.3976174
Real values 437...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015416.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60238147 | Other : 0.39761856
Real values 438...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015419.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60242987 | Other : 0.3975702
Real values 439...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015436.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023552 | Other : 0.39764485
Real values 440...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015418.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024135 | Other : 0.3975865
Real values 441...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015440.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60245323 | Other : 0.39754674
Real values 442...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015417.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60244083 | Other : 0.39755917
Real values 443...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015447.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60259086 | Other : 0.39740914
Real values 444...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015481.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6025208 | Other : 0.39747915
Real values 445...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015464.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024187 | Other : 0.39758134
Real values 446...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015468.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023508 | Other : 0.3976492
Real values 447...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015455.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60234857 | Other : 0.39765143
Real values 448...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015476.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60246414 | Other : 0.39753583
Real values 449...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015466.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60250455 | Other : 0.39749542
Real values 450...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015482.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60244995 | Other : 0.39755008
Real values 451...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015544.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60262096 | Other : 0.39737907
Real values 452...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015510.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024144 | Other : 0.39758554
Real values 453...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015563.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023878 | Other : 0.39761224
Real values 454...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015526.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023979 | Other : 0.39760208
Real values 455...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015485.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60244024 | Other : 0.3975598
Real values 456...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015537.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6027154 | Other : 0.3972846
Real values 457...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015559.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6026052 | Other : 0.39739475
Real values 458...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015603.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6025354 | Other : 0.3974646
Real values 459...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015568.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6026583 | Other : 0.39734173
Real values 460...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015566.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6026263 | Other : 0.39737368
Real values 461...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015614.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60232896 | Other : 0.39767107
Real values 462...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015593.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024044 | Other : 0.3975956
Real values 463...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015582.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60254025 | Other : 0.39745972
Real values 464...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015607.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024898 | Other : 0.39751017
Real values 465...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015636.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60258615 | Other : 0.39741385
Real values 466...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015625.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60239756 | Other : 0.3976024
Real values 467...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015617.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60253936 | Other : 0.39746067
Real values 468...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015645.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60239035 | Other : 0.39760965
Real values 469...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015638.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6025746 | Other : 0.39742547
Real values 470...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015641.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60247445 | Other : 0.39752555
Real values 471...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015631.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024078 | Other : 0.39759216
Real values 472...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015939.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60234904 | Other : 0.39765096
Real values 473...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015938.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022832 | Other : 0.39771682
Real values 474...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015936.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023389 | Other : 0.39766103
Real values 475...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015941.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024257 | Other : 0.39757434
Real values 476...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015947.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022979 | Other : 0.39770213
Real values 477...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015944.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60226166 | Other : 0.39773834
Real values 478...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015943.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.602199 | Other : 0.39780104
Real values 479...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015940.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60237306 | Other : 0.39762694
Real values 480...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015945.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022736 | Other : 0.39772642
Real values 481...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015937.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024797 | Other : 0.39752027
Real values 482...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015942.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60228306 | Other : 0.3977169
Real values 483...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015946.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60225564 | Other : 0.3977444
Real values 484...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015956.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023525 | Other : 0.3976475
Real values 485...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015950.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60218424 | Other : 0.3978158
Real values 486...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015955.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60223144 | Other : 0.39776853
Real values 487...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015949.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.602499 | Other : 0.397501
Real values 488...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015951.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.602225 | Other : 0.39777496
Real values 489...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015954.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60235566 | Other : 0.39764434
Real values 490...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015953.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60227215 | Other : 0.39772788
Real values 491...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015959.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022971 | Other : 0.39770287
Real values 492...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015958.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023791 | Other : 0.3976209
Real values 493...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015952.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022832 | Other : 0.39771682
Real values 494...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015960.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023496 | Other : 0.3976504
Real values 495...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015948.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023379 | Other : 0.3976621
Real values 496...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015957.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022136 | Other : 0.39778635
Real values 497...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015962.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60226065 | Other : 0.39773932
Real values 498...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015965.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60222024 | Other : 0.39777976
Real values 499...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015961.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022632 | Other : 0.3977368
Real values 500...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015972.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022016 | Other : 0.39779842
Real values 501...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015963.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60251456 | Other : 0.39748544
Real values 502...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015968.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023151 | Other : 0.39768487
Real values 503...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015969.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60227734 | Other : 0.39772266
Real values 504...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015971.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022578 | Other : 0.39774224
Real values 505...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015973.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60235536 | Other : 0.39764467
Real values 506...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015964.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6021967 | Other : 0.39780328
Real values 507...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015966.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023833 | Other : 0.39761668
Real values 508...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015967.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022891 | Other : 0.3977109
Real values 509...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015986.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023522 | Other : 0.3976478
Real values 510...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015981.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022863 | Other : 0.3977137
Real values 511...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015982.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023272 | Other : 0.3976728
Real values 512...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015980.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60225874 | Other : 0.39774126
Real values 513...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015974.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60240114 | Other : 0.39759883
Real values 514...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015985.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022163 | Other : 0.39778367
Real values 515...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015976.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60227597 | Other : 0.39772406
Real values 516...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015979.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60232586 | Other : 0.39767417
Real values 517...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015978.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6024784 | Other : 0.39752164
Real values 518...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015987.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023509 | Other : 0.39764908
Real values 519...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015975.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60229146 | Other : 0.39770854
Real values 520...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015984.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022865 | Other : 0.3977135
Real values 521...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015983.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60226434 | Other : 0.3977356
Real values 522...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015998.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60227096 | Other : 0.3977291
Real values 523...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015988.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60222936 | Other : 0.39777064
Real values 524...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015992.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022638 | Other : 0.3977362
Real values 525...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015991.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6021827 | Other : 0.3978173
Real values 526...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015993.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022198 | Other : 0.39778015
Real values 527...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015995.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60226434 | Other : 0.3977356
Real values 528...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015990.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60220575 | Other : 0.39779425
Real values 529...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015997.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6021907 | Other : 0.39780927
Real values 530...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015994.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023162 | Other : 0.39768383
Real values 531...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015989.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60219795 | Other : 0.39780208
Real values 532...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015996.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6021734 | Other : 0.3978266
Real values 533...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016006.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022063 | Other : 0.39779368
Real values 534...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016004.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60219437 | Other : 0.39780563
Real values 535...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016002.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6021894 | Other : 0.39781055
Real values 536...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016003.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60237765 | Other : 0.39762232
Real values 537...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016011.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60220945 | Other : 0.39779058
Real values 538...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016009.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.602304 | Other : 0.39769605
Real values 539...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016005.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022951 | Other : 0.39770493
Real values 540...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016008.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60225713 | Other : 0.39774293
Real values 541...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016000.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.602276 | Other : 0.397724
Real values 542...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015999.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022366 | Other : 0.39776337
Real values 543...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016007.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60225475 | Other : 0.39774525
Real values 544...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016001.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60221654 | Other : 0.3977834
Real values 545...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016015.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60220194 | Other : 0.39779803
Real values 546...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016019.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60224056 | Other : 0.39775944
Real values 547...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016022.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60222423 | Other : 0.39777574
Real values 548...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016014.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022984 | Other : 0.39770168
Real values 549...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016012.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022775 | Other : 0.39772248
Real values 550...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016016.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023388 | Other : 0.3976612
Real values 551...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016018.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022223 | Other : 0.3977777
Real values 552...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016024.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60220397 | Other : 0.39779603
Real values 553...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016017.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022139 | Other : 0.39778608
Real values 554...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016023.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022021 | Other : 0.39779788
Real values 555...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016013.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.602311 | Other : 0.39768898
Real values 556...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016030.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60218906 | Other : 0.39781097
Real values 557...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016033.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023132 | Other : 0.39768675
Real values 558...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016034.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.602177 | Other : 0.39782292
Real values 559...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016025.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022578 | Other : 0.39774224
Real values 560...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016028.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022301 | Other : 0.39776996
Real values 561...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016027.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60224605 | Other : 0.39775392
Real values 562...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016026.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60221267 | Other : 0.39778736
Real values 563...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016029.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022144 | Other : 0.3977856
Real values 564...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016031.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60216165 | Other : 0.39783835
Real values 565...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016035.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60216886 | Other : 0.39783114
Real values 566...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016041.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60219467 | Other : 0.39780536
Real values 567...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016038.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60239273 | Other : 0.3976073
Real values 568...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016036.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60218847 | Other : 0.39781153
Real values 569...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016043.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60217446 | Other : 0.39782554
Real values 570...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016046.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022852 | Other : 0.39771473
Real values 571...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016037.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6021675 | Other : 0.3978325
Real values 572...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016045.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60223913 | Other : 0.39776087
Real values 573...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016044.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6021975 | Other : 0.39780244
Real values 574...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016040.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022437 | Other : 0.39775634
Real values 575...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016042.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60217565 | Other : 0.39782435
Real values 576...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016048.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6021691 | Other : 0.3978309
Real values 577...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016059.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6021575 | Other : 0.39784253
Real values 578...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016054.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6021859 | Other : 0.3978141
Real values 579...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016057.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6021945 | Other : 0.39780545
Real values 580...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016052.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60216737 | Other : 0.3978326
Real values 581...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016055.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60231745 | Other : 0.39768255
Real values 582...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016058.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60225934 | Other : 0.3977406
Real values 583...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016051.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022303 | Other : 0.3977697
Real values 584...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016049.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6021912 | Other : 0.39780873
Real values 585...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016053.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60223126 | Other : 0.3977688
Real values 586...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016050.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60218716 | Other : 0.39781287
Real values 587...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016056.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6023138 | Other : 0.39768618
Real values 588...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016070.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60224324 | Other : 0.3977567
Real values 589...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016063.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60220945 | Other : 0.3977905
Real values 590...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016065.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60224843 | Other : 0.39775157
Real values 591...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016062.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60218126 | Other : 0.39781874
Real values 592...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016069.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.602174 | Other : 0.39782602
Real values 593...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016072.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022252 | Other : 0.39777485
Real values 594...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016064.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022437 | Other : 0.39775625
Real values 595...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016060.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60228693 | Other : 0.397713
Real values 596...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016061.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6021771 | Other : 0.39782292
Real values 597...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016071.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022486 | Other : 0.39775142
Real values 598...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016068.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.60229963 | Other : 0.3977003
Real values 599...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016066.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb268458810>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5
Model Weights:
None
Prediction... Melanoma : 0.6022443 | Other : 0.39775565
Real values 600...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
print("Accuracy = %2.2f%%" % (np.mean(correct_Xception_Test)*100))
Accuracy = 80.50%
# Re-ordering the actual y (for ROC)
y_true_2_Xception_Test = []
for i in range(len(y_true_Xception_Test)):
y_true_2_Xception_Test.append(y_true_Xception_Test[i][0])
# Re-ordering the predicte y (for ROC)
y_score_2_Xception_Test = []
for i in range(len(y_score_Xception_Test)):
y_score_2_Xception_Test.append(y_score_Xception_Test[i][0])
plot_roc(y_true_2_Xception_Test, y_score_2_Xception_Test)
def positive_negative_measurement(y_true, y_score):
# Initialization
TRUE_POSITIVE = 0
FALSE_POSITIVE = 0
TRUE_NEGATIVE = 0
FALSE_NEGATIVE = 0
# Calculating the model
for i in range(len(y_score)):
if y_true[i] == y_score[i] == 1:
TRUE_POSITIVE += 1
if (y_score[i] == 1) and (y_true[i] != y_score[i]):
FALSE_POSITIVE += 1
if y_true[i] == y_score[i] == 0:
TRUE_NEGATIVE += 1
if (y_score[i] == 0) and (y_true[i] != y_score[i]):
FALSE_NEGATIVE += 1
return(TRUE_POSITIVE, FALSE_POSITIVE, TRUE_NEGATIVE, FALSE_NEGATIVE)
TRUE_POSITIVE_Xception_Test, FALSE_POSITIVE_Xception_Test, TRUE_NEGATIVE_Xception_Test, FALSE_NEGATIVE_Xception_Test = positive_negative_measurement(y_true_2_Xception_Test, y_score_2_Xception_Test)
postives_negatives_Xception_Test = [[TRUE_POSITIVE_Xception_Test, FALSE_POSITIVE_Xception_Test],
[FALSE_NEGATIVE_Xception_Test, TRUE_NEGATIVE_Xception_Test]]
sns.set()
labels_Xception_Test = np.array([['True positive: ' + str(TRUE_POSITIVE_Xception_Test),
'False positive: ' + str(FALSE_POSITIVE_Xception_Test)],
['False negative: ' + str(FALSE_NEGATIVE_Xception_Test),
'True negative: ' + str(TRUE_POSITIVE_Xception_Test)]])
plt.figure(figsize = (13, 10))
sns.heatmap(postives_negatives_Xception_Test, annot = labels_Xception_Test, linewidths = 0.1, fmt="", cmap = 'RdYlGn')
<matplotlib.axes._subplots.AxesSubplot at 0x7fb267857b10>
# Sensitivity | Recall | hit rate | true positive rate (TPR)
sensitivity_Xception_Test = TRUE_POSITIVE_Xception_Test / (TRUE_POSITIVE_Xception_Test + FALSE_NEGATIVE_Xception_Test)
print("Sensitivity: ", sensitivity_Xception_Test)
Sensitivity: 1.0
# Specificity | selectivity | true negative rate (TNR)
try:
specifity_Xception_Test = TRUE_NEGATIVE_Xception_Test / (TRUE_NEGATIVE_Xception_Test + FALSE_NEGATIVE_Xception_Test)
print("Specifity: ", specifity_Xception_Test)
except:
print("No Specificity due to NO NEGATIVE results.")
No Specificity due to NO NEGATIVE results.
# Precision | positive predictive value (PPV)
predcision_Xception_Test = TRUE_POSITIVE_Xception_Test / (TRUE_POSITIVE_Xception_Test + FALSE_POSITIVE_Xception_Test)
print("Precision: ", predcision_Xception_Test)
Precision: 0.805
# Negative predictive value (NPV)
try:
npv_Xception_Test = TRUE_NEGATIVE_Xception_Test / (TRUE_NEGATIVE_Xception_Test + FALSE_NEGATIVE_Xception_Test)
print("Negative predictive value: ", npv_Xception_Test)
except:
print("0 Negative Predictions")
0 Negative Predictions
# Accuracy
accuracy_Xception_Test = (TRUE_POSITIVE_Xception_Test + TRUE_NEGATIVE_Xception_Test) / (TRUE_POSITIVE_Xception_Test + FALSE_POSITIVE_Xception_Test + TRUE_NEGATIVE_Xception_Test + FALSE_NEGATIVE_Xception_Test)
print("Accuracy: ", accuracy_Xception_Test)
Accuracy: 0.805
Working Flowchart:
# Single input for multiple models
model_input = Input(shape=(512, 512, 3))
def mobilenet_architecture():
"""
Pre-build architecture of mobilenet for our dataset.
"""
# Imprting the model
from keras.applications.mobilenet import MobileNet
# Pre-build model
base_model = MobileNet(include_top = False, weights = None, input_tensor = model_input)
# Adding output layers
x = base_model.output
x = GlobalAveragePooling2D()(x)
output = Dense(units = 2, activation = 'softmax')(x)
# Creating the whole model
mobilenet_model = Model(base_model.input, output)
# Getting the summary of architecture
mobilenet_model.summary()
# Compiling the model
mobilenet_model.compile(optimizer = keras.optimizers.Adam(lr = 0.001),
loss = 'categorical_crossentropy',
metrics = ['accuracy'])
return mobilenet_model
# Model 1
mobilenet_model = mobilenet_architecture()
mobilenet_model.load_weights("/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5")
Model: "model_15" _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= input_11 (InputLayer) [(None, 512, 512, 3)] 0 _________________________________________________________________ conv1 (Conv2D) (None, 256, 256, 32) 864 _________________________________________________________________ conv1_bn (BatchNormalization (None, 256, 256, 32) 128 _________________________________________________________________ conv1_relu (ReLU) (None, 256, 256, 32) 0 _________________________________________________________________ conv_dw_1 (DepthwiseConv2D) (None, 256, 256, 32) 288 _________________________________________________________________ conv_dw_1_bn (BatchNormaliza (None, 256, 256, 32) 128 _________________________________________________________________ conv_dw_1_relu (ReLU) (None, 256, 256, 32) 0 _________________________________________________________________ conv_pw_1 (Conv2D) (None, 256, 256, 64) 2048 _________________________________________________________________ conv_pw_1_bn (BatchNormaliza (None, 256, 256, 64) 256 _________________________________________________________________ conv_pw_1_relu (ReLU) (None, 256, 256, 64) 0 _________________________________________________________________ conv_pad_2 (ZeroPadding2D) (None, 257, 257, 64) 0 _________________________________________________________________ conv_dw_2 (DepthwiseConv2D) (None, 128, 128, 64) 576 _________________________________________________________________ conv_dw_2_bn (BatchNormaliza (None, 128, 128, 64) 256 _________________________________________________________________ conv_dw_2_relu (ReLU) (None, 128, 128, 64) 0 _________________________________________________________________ conv_pw_2 (Conv2D) (None, 128, 128, 128) 8192 _________________________________________________________________ conv_pw_2_bn (BatchNormaliza (None, 128, 128, 128) 512 _________________________________________________________________ conv_pw_2_relu (ReLU) (None, 128, 128, 128) 0 _________________________________________________________________ conv_dw_3 (DepthwiseConv2D) (None, 128, 128, 128) 1152 _________________________________________________________________ conv_dw_3_bn (BatchNormaliza (None, 128, 128, 128) 512 _________________________________________________________________ conv_dw_3_relu (ReLU) (None, 128, 128, 128) 0 _________________________________________________________________ conv_pw_3 (Conv2D) (None, 128, 128, 128) 16384 _________________________________________________________________ conv_pw_3_bn (BatchNormaliza (None, 128, 128, 128) 512 _________________________________________________________________ conv_pw_3_relu (ReLU) (None, 128, 128, 128) 0 _________________________________________________________________ conv_pad_4 (ZeroPadding2D) (None, 129, 129, 128) 0 _________________________________________________________________ conv_dw_4 (DepthwiseConv2D) (None, 64, 64, 128) 1152 _________________________________________________________________ conv_dw_4_bn (BatchNormaliza (None, 64, 64, 128) 512 _________________________________________________________________ conv_dw_4_relu (ReLU) (None, 64, 64, 128) 0 _________________________________________________________________ conv_pw_4 (Conv2D) (None, 64, 64, 256) 32768 _________________________________________________________________ conv_pw_4_bn (BatchNormaliza (None, 64, 64, 256) 1024 _________________________________________________________________ conv_pw_4_relu (ReLU) (None, 64, 64, 256) 0 _________________________________________________________________ conv_dw_5 (DepthwiseConv2D) (None, 64, 64, 256) 2304 _________________________________________________________________ conv_dw_5_bn (BatchNormaliza (None, 64, 64, 256) 1024 _________________________________________________________________ conv_dw_5_relu (ReLU) (None, 64, 64, 256) 0 _________________________________________________________________ conv_pw_5 (Conv2D) (None, 64, 64, 256) 65536 _________________________________________________________________ conv_pw_5_bn (BatchNormaliza (None, 64, 64, 256) 1024 _________________________________________________________________ conv_pw_5_relu (ReLU) (None, 64, 64, 256) 0 _________________________________________________________________ conv_pad_6 (ZeroPadding2D) (None, 65, 65, 256) 0 _________________________________________________________________ conv_dw_6 (DepthwiseConv2D) (None, 32, 32, 256) 2304 _________________________________________________________________ conv_dw_6_bn (BatchNormaliza (None, 32, 32, 256) 1024 _________________________________________________________________ conv_dw_6_relu (ReLU) (None, 32, 32, 256) 0 _________________________________________________________________ conv_pw_6 (Conv2D) (None, 32, 32, 512) 131072 _________________________________________________________________ conv_pw_6_bn (BatchNormaliza (None, 32, 32, 512) 2048 _________________________________________________________________ conv_pw_6_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_dw_7 (DepthwiseConv2D) (None, 32, 32, 512) 4608 _________________________________________________________________ conv_dw_7_bn (BatchNormaliza (None, 32, 32, 512) 2048 _________________________________________________________________ conv_dw_7_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_pw_7 (Conv2D) (None, 32, 32, 512) 262144 _________________________________________________________________ conv_pw_7_bn (BatchNormaliza (None, 32, 32, 512) 2048 _________________________________________________________________ conv_pw_7_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_dw_8 (DepthwiseConv2D) (None, 32, 32, 512) 4608 _________________________________________________________________ conv_dw_8_bn (BatchNormaliza (None, 32, 32, 512) 2048 _________________________________________________________________ conv_dw_8_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_pw_8 (Conv2D) (None, 32, 32, 512) 262144 _________________________________________________________________ conv_pw_8_bn (BatchNormaliza (None, 32, 32, 512) 2048 _________________________________________________________________ conv_pw_8_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_dw_9 (DepthwiseConv2D) (None, 32, 32, 512) 4608 _________________________________________________________________ conv_dw_9_bn (BatchNormaliza (None, 32, 32, 512) 2048 _________________________________________________________________ conv_dw_9_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_pw_9 (Conv2D) (None, 32, 32, 512) 262144 _________________________________________________________________ conv_pw_9_bn (BatchNormaliza (None, 32, 32, 512) 2048 _________________________________________________________________ conv_pw_9_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_dw_10 (DepthwiseConv2D) (None, 32, 32, 512) 4608 _________________________________________________________________ conv_dw_10_bn (BatchNormaliz (None, 32, 32, 512) 2048 _________________________________________________________________ conv_dw_10_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_pw_10 (Conv2D) (None, 32, 32, 512) 262144 _________________________________________________________________ conv_pw_10_bn (BatchNormaliz (None, 32, 32, 512) 2048 _________________________________________________________________ conv_pw_10_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_dw_11 (DepthwiseConv2D) (None, 32, 32, 512) 4608 _________________________________________________________________ conv_dw_11_bn (BatchNormaliz (None, 32, 32, 512) 2048 _________________________________________________________________ conv_dw_11_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_pw_11 (Conv2D) (None, 32, 32, 512) 262144 _________________________________________________________________ conv_pw_11_bn (BatchNormaliz (None, 32, 32, 512) 2048 _________________________________________________________________ conv_pw_11_relu (ReLU) (None, 32, 32, 512) 0 _________________________________________________________________ conv_pad_12 (ZeroPadding2D) (None, 33, 33, 512) 0 _________________________________________________________________ conv_dw_12 (DepthwiseConv2D) (None, 16, 16, 512) 4608 _________________________________________________________________ conv_dw_12_bn (BatchNormaliz (None, 16, 16, 512) 2048 _________________________________________________________________ conv_dw_12_relu (ReLU) (None, 16, 16, 512) 0 _________________________________________________________________ conv_pw_12 (Conv2D) (None, 16, 16, 1024) 524288 _________________________________________________________________ conv_pw_12_bn (BatchNormaliz (None, 16, 16, 1024) 4096 _________________________________________________________________ conv_pw_12_relu (ReLU) (None, 16, 16, 1024) 0 _________________________________________________________________ conv_dw_13 (DepthwiseConv2D) (None, 16, 16, 1024) 9216 _________________________________________________________________ conv_dw_13_bn (BatchNormaliz (None, 16, 16, 1024) 4096 _________________________________________________________________ conv_dw_13_relu (ReLU) (None, 16, 16, 1024) 0 _________________________________________________________________ conv_pw_13 (Conv2D) (None, 16, 16, 1024) 1048576 _________________________________________________________________ conv_pw_13_bn (BatchNormaliz (None, 16, 16, 1024) 4096 _________________________________________________________________ conv_pw_13_relu (ReLU) (None, 16, 16, 1024) 0 _________________________________________________________________ global_average_pooling2d_15 (None, 1024) 0 _________________________________________________________________ dense_15 (Dense) (None, 2) 2050 ================================================================= Total params: 3,230,914 Trainable params: 3,209,026 Non-trainable params: 21,888 _________________________________________________________________
def inception_architecture():
"""
Pre-build architecture of inception for our dataset.
"""
# Imprting the model
from keras.applications.inception_v3 import InceptionV3
# Pre-build model
base_model = InceptionV3(include_top = False, weights = None, input_tensor = model_input)
# Adding output layers
x = base_model.output
x = GlobalAveragePooling2D()(x)
output = Dense(units = 2, activation = 'softmax')(x)
# Creating the whole model
inception_model = Model(base_model.input, output)
# Summary of the model
inception_model.summary()
# Compiling the model
inception_model.compile(optimizer = keras.optimizers.Adam(lr = 0.001),
loss = 'categorical_crossentropy',
metrics = ['accuracy'])
return inception_model
# Model 2
inception_model = inception_architecture()
inception_model.load_weights("/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.InceptionV3.hdf5")
Model: "model_16"
__________________________________________________________________________________________________
Layer (type) Output Shape Param # Connected to
==================================================================================================
input_11 (InputLayer) [(None, 512, 512, 3) 0
__________________________________________________________________________________________________
conv2d_490 (Conv2D) (None, 255, 255, 32) 864 input_11[0][0]
__________________________________________________________________________________________________
batch_normalization_490 (BatchN (None, 255, 255, 32) 96 conv2d_490[0][0]
__________________________________________________________________________________________________
activation_470 (Activation) (None, 255, 255, 32) 0 batch_normalization_490[0][0]
__________________________________________________________________________________________________
conv2d_491 (Conv2D) (None, 253, 253, 32) 9216 activation_470[0][0]
__________________________________________________________________________________________________
batch_normalization_491 (BatchN (None, 253, 253, 32) 96 conv2d_491[0][0]
__________________________________________________________________________________________________
activation_471 (Activation) (None, 253, 253, 32) 0 batch_normalization_491[0][0]
__________________________________________________________________________________________________
conv2d_492 (Conv2D) (None, 253, 253, 64) 18432 activation_471[0][0]
__________________________________________________________________________________________________
batch_normalization_492 (BatchN (None, 253, 253, 64) 192 conv2d_492[0][0]
__________________________________________________________________________________________________
activation_472 (Activation) (None, 253, 253, 64) 0 batch_normalization_492[0][0]
__________________________________________________________________________________________________
max_pooling2d_20 (MaxPooling2D) (None, 126, 126, 64) 0 activation_472[0][0]
__________________________________________________________________________________________________
conv2d_493 (Conv2D) (None, 126, 126, 80) 5120 max_pooling2d_20[0][0]
__________________________________________________________________________________________________
batch_normalization_493 (BatchN (None, 126, 126, 80) 240 conv2d_493[0][0]
__________________________________________________________________________________________________
activation_473 (Activation) (None, 126, 126, 80) 0 batch_normalization_493[0][0]
__________________________________________________________________________________________________
conv2d_494 (Conv2D) (None, 124, 124, 192 138240 activation_473[0][0]
__________________________________________________________________________________________________
batch_normalization_494 (BatchN (None, 124, 124, 192 576 conv2d_494[0][0]
__________________________________________________________________________________________________
activation_474 (Activation) (None, 124, 124, 192 0 batch_normalization_494[0][0]
__________________________________________________________________________________________________
max_pooling2d_21 (MaxPooling2D) (None, 61, 61, 192) 0 activation_474[0][0]
__________________________________________________________________________________________________
conv2d_498 (Conv2D) (None, 61, 61, 64) 12288 max_pooling2d_21[0][0]
__________________________________________________________________________________________________
batch_normalization_498 (BatchN (None, 61, 61, 64) 192 conv2d_498[0][0]
__________________________________________________________________________________________________
activation_478 (Activation) (None, 61, 61, 64) 0 batch_normalization_498[0][0]
__________________________________________________________________________________________________
conv2d_496 (Conv2D) (None, 61, 61, 48) 9216 max_pooling2d_21[0][0]
__________________________________________________________________________________________________
conv2d_499 (Conv2D) (None, 61, 61, 96) 55296 activation_478[0][0]
__________________________________________________________________________________________________
batch_normalization_496 (BatchN (None, 61, 61, 48) 144 conv2d_496[0][0]
__________________________________________________________________________________________________
batch_normalization_499 (BatchN (None, 61, 61, 96) 288 conv2d_499[0][0]
__________________________________________________________________________________________________
activation_476 (Activation) (None, 61, 61, 48) 0 batch_normalization_496[0][0]
__________________________________________________________________________________________________
activation_479 (Activation) (None, 61, 61, 96) 0 batch_normalization_499[0][0]
__________________________________________________________________________________________________
average_pooling2d_45 (AveragePo (None, 61, 61, 192) 0 max_pooling2d_21[0][0]
__________________________________________________________________________________________________
conv2d_495 (Conv2D) (None, 61, 61, 64) 12288 max_pooling2d_21[0][0]
__________________________________________________________________________________________________
conv2d_497 (Conv2D) (None, 61, 61, 64) 76800 activation_476[0][0]
__________________________________________________________________________________________________
conv2d_500 (Conv2D) (None, 61, 61, 96) 82944 activation_479[0][0]
__________________________________________________________________________________________________
conv2d_501 (Conv2D) (None, 61, 61, 32) 6144 average_pooling2d_45[0][0]
__________________________________________________________________________________________________
batch_normalization_495 (BatchN (None, 61, 61, 64) 192 conv2d_495[0][0]
__________________________________________________________________________________________________
batch_normalization_497 (BatchN (None, 61, 61, 64) 192 conv2d_497[0][0]
__________________________________________________________________________________________________
batch_normalization_500 (BatchN (None, 61, 61, 96) 288 conv2d_500[0][0]
__________________________________________________________________________________________________
batch_normalization_501 (BatchN (None, 61, 61, 32) 96 conv2d_501[0][0]
__________________________________________________________________________________________________
activation_475 (Activation) (None, 61, 61, 64) 0 batch_normalization_495[0][0]
__________________________________________________________________________________________________
activation_477 (Activation) (None, 61, 61, 64) 0 batch_normalization_497[0][0]
__________________________________________________________________________________________________
activation_480 (Activation) (None, 61, 61, 96) 0 batch_normalization_500[0][0]
__________________________________________________________________________________________________
activation_481 (Activation) (None, 61, 61, 32) 0 batch_normalization_501[0][0]
__________________________________________________________________________________________________
mixed0 (Concatenate) (None, 61, 61, 256) 0 activation_475[0][0]
activation_477[0][0]
activation_480[0][0]
activation_481[0][0]
__________________________________________________________________________________________________
conv2d_505 (Conv2D) (None, 61, 61, 64) 16384 mixed0[0][0]
__________________________________________________________________________________________________
batch_normalization_505 (BatchN (None, 61, 61, 64) 192 conv2d_505[0][0]
__________________________________________________________________________________________________
activation_485 (Activation) (None, 61, 61, 64) 0 batch_normalization_505[0][0]
__________________________________________________________________________________________________
conv2d_503 (Conv2D) (None, 61, 61, 48) 12288 mixed0[0][0]
__________________________________________________________________________________________________
conv2d_506 (Conv2D) (None, 61, 61, 96) 55296 activation_485[0][0]
__________________________________________________________________________________________________
batch_normalization_503 (BatchN (None, 61, 61, 48) 144 conv2d_503[0][0]
__________________________________________________________________________________________________
batch_normalization_506 (BatchN (None, 61, 61, 96) 288 conv2d_506[0][0]
__________________________________________________________________________________________________
activation_483 (Activation) (None, 61, 61, 48) 0 batch_normalization_503[0][0]
__________________________________________________________________________________________________
activation_486 (Activation) (None, 61, 61, 96) 0 batch_normalization_506[0][0]
__________________________________________________________________________________________________
average_pooling2d_46 (AveragePo (None, 61, 61, 256) 0 mixed0[0][0]
__________________________________________________________________________________________________
conv2d_502 (Conv2D) (None, 61, 61, 64) 16384 mixed0[0][0]
__________________________________________________________________________________________________
conv2d_504 (Conv2D) (None, 61, 61, 64) 76800 activation_483[0][0]
__________________________________________________________________________________________________
conv2d_507 (Conv2D) (None, 61, 61, 96) 82944 activation_486[0][0]
__________________________________________________________________________________________________
conv2d_508 (Conv2D) (None, 61, 61, 64) 16384 average_pooling2d_46[0][0]
__________________________________________________________________________________________________
batch_normalization_502 (BatchN (None, 61, 61, 64) 192 conv2d_502[0][0]
__________________________________________________________________________________________________
batch_normalization_504 (BatchN (None, 61, 61, 64) 192 conv2d_504[0][0]
__________________________________________________________________________________________________
batch_normalization_507 (BatchN (None, 61, 61, 96) 288 conv2d_507[0][0]
__________________________________________________________________________________________________
batch_normalization_508 (BatchN (None, 61, 61, 64) 192 conv2d_508[0][0]
__________________________________________________________________________________________________
activation_482 (Activation) (None, 61, 61, 64) 0 batch_normalization_502[0][0]
__________________________________________________________________________________________________
activation_484 (Activation) (None, 61, 61, 64) 0 batch_normalization_504[0][0]
__________________________________________________________________________________________________
activation_487 (Activation) (None, 61, 61, 96) 0 batch_normalization_507[0][0]
__________________________________________________________________________________________________
activation_488 (Activation) (None, 61, 61, 64) 0 batch_normalization_508[0][0]
__________________________________________________________________________________________________
mixed1 (Concatenate) (None, 61, 61, 288) 0 activation_482[0][0]
activation_484[0][0]
activation_487[0][0]
activation_488[0][0]
__________________________________________________________________________________________________
conv2d_512 (Conv2D) (None, 61, 61, 64) 18432 mixed1[0][0]
__________________________________________________________________________________________________
batch_normalization_512 (BatchN (None, 61, 61, 64) 192 conv2d_512[0][0]
__________________________________________________________________________________________________
activation_492 (Activation) (None, 61, 61, 64) 0 batch_normalization_512[0][0]
__________________________________________________________________________________________________
conv2d_510 (Conv2D) (None, 61, 61, 48) 13824 mixed1[0][0]
__________________________________________________________________________________________________
conv2d_513 (Conv2D) (None, 61, 61, 96) 55296 activation_492[0][0]
__________________________________________________________________________________________________
batch_normalization_510 (BatchN (None, 61, 61, 48) 144 conv2d_510[0][0]
__________________________________________________________________________________________________
batch_normalization_513 (BatchN (None, 61, 61, 96) 288 conv2d_513[0][0]
__________________________________________________________________________________________________
activation_490 (Activation) (None, 61, 61, 48) 0 batch_normalization_510[0][0]
__________________________________________________________________________________________________
activation_493 (Activation) (None, 61, 61, 96) 0 batch_normalization_513[0][0]
__________________________________________________________________________________________________
average_pooling2d_47 (AveragePo (None, 61, 61, 288) 0 mixed1[0][0]
__________________________________________________________________________________________________
conv2d_509 (Conv2D) (None, 61, 61, 64) 18432 mixed1[0][0]
__________________________________________________________________________________________________
conv2d_511 (Conv2D) (None, 61, 61, 64) 76800 activation_490[0][0]
__________________________________________________________________________________________________
conv2d_514 (Conv2D) (None, 61, 61, 96) 82944 activation_493[0][0]
__________________________________________________________________________________________________
conv2d_515 (Conv2D) (None, 61, 61, 64) 18432 average_pooling2d_47[0][0]
__________________________________________________________________________________________________
batch_normalization_509 (BatchN (None, 61, 61, 64) 192 conv2d_509[0][0]
__________________________________________________________________________________________________
batch_normalization_511 (BatchN (None, 61, 61, 64) 192 conv2d_511[0][0]
__________________________________________________________________________________________________
batch_normalization_514 (BatchN (None, 61, 61, 96) 288 conv2d_514[0][0]
__________________________________________________________________________________________________
batch_normalization_515 (BatchN (None, 61, 61, 64) 192 conv2d_515[0][0]
__________________________________________________________________________________________________
activation_489 (Activation) (None, 61, 61, 64) 0 batch_normalization_509[0][0]
__________________________________________________________________________________________________
activation_491 (Activation) (None, 61, 61, 64) 0 batch_normalization_511[0][0]
__________________________________________________________________________________________________
activation_494 (Activation) (None, 61, 61, 96) 0 batch_normalization_514[0][0]
__________________________________________________________________________________________________
activation_495 (Activation) (None, 61, 61, 64) 0 batch_normalization_515[0][0]
__________________________________________________________________________________________________
mixed2 (Concatenate) (None, 61, 61, 288) 0 activation_489[0][0]
activation_491[0][0]
activation_494[0][0]
activation_495[0][0]
__________________________________________________________________________________________________
conv2d_517 (Conv2D) (None, 61, 61, 64) 18432 mixed2[0][0]
__________________________________________________________________________________________________
batch_normalization_517 (BatchN (None, 61, 61, 64) 192 conv2d_517[0][0]
__________________________________________________________________________________________________
activation_497 (Activation) (None, 61, 61, 64) 0 batch_normalization_517[0][0]
__________________________________________________________________________________________________
conv2d_518 (Conv2D) (None, 61, 61, 96) 55296 activation_497[0][0]
__________________________________________________________________________________________________
batch_normalization_518 (BatchN (None, 61, 61, 96) 288 conv2d_518[0][0]
__________________________________________________________________________________________________
activation_498 (Activation) (None, 61, 61, 96) 0 batch_normalization_518[0][0]
__________________________________________________________________________________________________
conv2d_516 (Conv2D) (None, 30, 30, 384) 995328 mixed2[0][0]
__________________________________________________________________________________________________
conv2d_519 (Conv2D) (None, 30, 30, 96) 82944 activation_498[0][0]
__________________________________________________________________________________________________
batch_normalization_516 (BatchN (None, 30, 30, 384) 1152 conv2d_516[0][0]
__________________________________________________________________________________________________
batch_normalization_519 (BatchN (None, 30, 30, 96) 288 conv2d_519[0][0]
__________________________________________________________________________________________________
activation_496 (Activation) (None, 30, 30, 384) 0 batch_normalization_516[0][0]
__________________________________________________________________________________________________
activation_499 (Activation) (None, 30, 30, 96) 0 batch_normalization_519[0][0]
__________________________________________________________________________________________________
max_pooling2d_22 (MaxPooling2D) (None, 30, 30, 288) 0 mixed2[0][0]
__________________________________________________________________________________________________
mixed3 (Concatenate) (None, 30, 30, 768) 0 activation_496[0][0]
activation_499[0][0]
max_pooling2d_22[0][0]
__________________________________________________________________________________________________
conv2d_524 (Conv2D) (None, 30, 30, 128) 98304 mixed3[0][0]
__________________________________________________________________________________________________
batch_normalization_524 (BatchN (None, 30, 30, 128) 384 conv2d_524[0][0]
__________________________________________________________________________________________________
activation_504 (Activation) (None, 30, 30, 128) 0 batch_normalization_524[0][0]
__________________________________________________________________________________________________
conv2d_525 (Conv2D) (None, 30, 30, 128) 114688 activation_504[0][0]
__________________________________________________________________________________________________
batch_normalization_525 (BatchN (None, 30, 30, 128) 384 conv2d_525[0][0]
__________________________________________________________________________________________________
activation_505 (Activation) (None, 30, 30, 128) 0 batch_normalization_525[0][0]
__________________________________________________________________________________________________
conv2d_521 (Conv2D) (None, 30, 30, 128) 98304 mixed3[0][0]
__________________________________________________________________________________________________
conv2d_526 (Conv2D) (None, 30, 30, 128) 114688 activation_505[0][0]
__________________________________________________________________________________________________
batch_normalization_521 (BatchN (None, 30, 30, 128) 384 conv2d_521[0][0]
__________________________________________________________________________________________________
batch_normalization_526 (BatchN (None, 30, 30, 128) 384 conv2d_526[0][0]
__________________________________________________________________________________________________
activation_501 (Activation) (None, 30, 30, 128) 0 batch_normalization_521[0][0]
__________________________________________________________________________________________________
activation_506 (Activation) (None, 30, 30, 128) 0 batch_normalization_526[0][0]
__________________________________________________________________________________________________
conv2d_522 (Conv2D) (None, 30, 30, 128) 114688 activation_501[0][0]
__________________________________________________________________________________________________
conv2d_527 (Conv2D) (None, 30, 30, 128) 114688 activation_506[0][0]
__________________________________________________________________________________________________
batch_normalization_522 (BatchN (None, 30, 30, 128) 384 conv2d_522[0][0]
__________________________________________________________________________________________________
batch_normalization_527 (BatchN (None, 30, 30, 128) 384 conv2d_527[0][0]
__________________________________________________________________________________________________
activation_502 (Activation) (None, 30, 30, 128) 0 batch_normalization_522[0][0]
__________________________________________________________________________________________________
activation_507 (Activation) (None, 30, 30, 128) 0 batch_normalization_527[0][0]
__________________________________________________________________________________________________
average_pooling2d_48 (AveragePo (None, 30, 30, 768) 0 mixed3[0][0]
__________________________________________________________________________________________________
conv2d_520 (Conv2D) (None, 30, 30, 192) 147456 mixed3[0][0]
__________________________________________________________________________________________________
conv2d_523 (Conv2D) (None, 30, 30, 192) 172032 activation_502[0][0]
__________________________________________________________________________________________________
conv2d_528 (Conv2D) (None, 30, 30, 192) 172032 activation_507[0][0]
__________________________________________________________________________________________________
conv2d_529 (Conv2D) (None, 30, 30, 192) 147456 average_pooling2d_48[0][0]
__________________________________________________________________________________________________
batch_normalization_520 (BatchN (None, 30, 30, 192) 576 conv2d_520[0][0]
__________________________________________________________________________________________________
batch_normalization_523 (BatchN (None, 30, 30, 192) 576 conv2d_523[0][0]
__________________________________________________________________________________________________
batch_normalization_528 (BatchN (None, 30, 30, 192) 576 conv2d_528[0][0]
__________________________________________________________________________________________________
batch_normalization_529 (BatchN (None, 30, 30, 192) 576 conv2d_529[0][0]
__________________________________________________________________________________________________
activation_500 (Activation) (None, 30, 30, 192) 0 batch_normalization_520[0][0]
__________________________________________________________________________________________________
activation_503 (Activation) (None, 30, 30, 192) 0 batch_normalization_523[0][0]
__________________________________________________________________________________________________
activation_508 (Activation) (None, 30, 30, 192) 0 batch_normalization_528[0][0]
__________________________________________________________________________________________________
activation_509 (Activation) (None, 30, 30, 192) 0 batch_normalization_529[0][0]
__________________________________________________________________________________________________
mixed4 (Concatenate) (None, 30, 30, 768) 0 activation_500[0][0]
activation_503[0][0]
activation_508[0][0]
activation_509[0][0]
__________________________________________________________________________________________________
conv2d_534 (Conv2D) (None, 30, 30, 160) 122880 mixed4[0][0]
__________________________________________________________________________________________________
batch_normalization_534 (BatchN (None, 30, 30, 160) 480 conv2d_534[0][0]
__________________________________________________________________________________________________
activation_514 (Activation) (None, 30, 30, 160) 0 batch_normalization_534[0][0]
__________________________________________________________________________________________________
conv2d_535 (Conv2D) (None, 30, 30, 160) 179200 activation_514[0][0]
__________________________________________________________________________________________________
batch_normalization_535 (BatchN (None, 30, 30, 160) 480 conv2d_535[0][0]
__________________________________________________________________________________________________
activation_515 (Activation) (None, 30, 30, 160) 0 batch_normalization_535[0][0]
__________________________________________________________________________________________________
conv2d_531 (Conv2D) (None, 30, 30, 160) 122880 mixed4[0][0]
__________________________________________________________________________________________________
conv2d_536 (Conv2D) (None, 30, 30, 160) 179200 activation_515[0][0]
__________________________________________________________________________________________________
batch_normalization_531 (BatchN (None, 30, 30, 160) 480 conv2d_531[0][0]
__________________________________________________________________________________________________
batch_normalization_536 (BatchN (None, 30, 30, 160) 480 conv2d_536[0][0]
__________________________________________________________________________________________________
activation_511 (Activation) (None, 30, 30, 160) 0 batch_normalization_531[0][0]
__________________________________________________________________________________________________
activation_516 (Activation) (None, 30, 30, 160) 0 batch_normalization_536[0][0]
__________________________________________________________________________________________________
conv2d_532 (Conv2D) (None, 30, 30, 160) 179200 activation_511[0][0]
__________________________________________________________________________________________________
conv2d_537 (Conv2D) (None, 30, 30, 160) 179200 activation_516[0][0]
__________________________________________________________________________________________________
batch_normalization_532 (BatchN (None, 30, 30, 160) 480 conv2d_532[0][0]
__________________________________________________________________________________________________
batch_normalization_537 (BatchN (None, 30, 30, 160) 480 conv2d_537[0][0]
__________________________________________________________________________________________________
activation_512 (Activation) (None, 30, 30, 160) 0 batch_normalization_532[0][0]
__________________________________________________________________________________________________
activation_517 (Activation) (None, 30, 30, 160) 0 batch_normalization_537[0][0]
__________________________________________________________________________________________________
average_pooling2d_49 (AveragePo (None, 30, 30, 768) 0 mixed4[0][0]
__________________________________________________________________________________________________
conv2d_530 (Conv2D) (None, 30, 30, 192) 147456 mixed4[0][0]
__________________________________________________________________________________________________
conv2d_533 (Conv2D) (None, 30, 30, 192) 215040 activation_512[0][0]
__________________________________________________________________________________________________
conv2d_538 (Conv2D) (None, 30, 30, 192) 215040 activation_517[0][0]
__________________________________________________________________________________________________
conv2d_539 (Conv2D) (None, 30, 30, 192) 147456 average_pooling2d_49[0][0]
__________________________________________________________________________________________________
batch_normalization_530 (BatchN (None, 30, 30, 192) 576 conv2d_530[0][0]
__________________________________________________________________________________________________
batch_normalization_533 (BatchN (None, 30, 30, 192) 576 conv2d_533[0][0]
__________________________________________________________________________________________________
batch_normalization_538 (BatchN (None, 30, 30, 192) 576 conv2d_538[0][0]
__________________________________________________________________________________________________
batch_normalization_539 (BatchN (None, 30, 30, 192) 576 conv2d_539[0][0]
__________________________________________________________________________________________________
activation_510 (Activation) (None, 30, 30, 192) 0 batch_normalization_530[0][0]
__________________________________________________________________________________________________
activation_513 (Activation) (None, 30, 30, 192) 0 batch_normalization_533[0][0]
__________________________________________________________________________________________________
activation_518 (Activation) (None, 30, 30, 192) 0 batch_normalization_538[0][0]
__________________________________________________________________________________________________
activation_519 (Activation) (None, 30, 30, 192) 0 batch_normalization_539[0][0]
__________________________________________________________________________________________________
mixed5 (Concatenate) (None, 30, 30, 768) 0 activation_510[0][0]
activation_513[0][0]
activation_518[0][0]
activation_519[0][0]
__________________________________________________________________________________________________
conv2d_544 (Conv2D) (None, 30, 30, 160) 122880 mixed5[0][0]
__________________________________________________________________________________________________
batch_normalization_544 (BatchN (None, 30, 30, 160) 480 conv2d_544[0][0]
__________________________________________________________________________________________________
activation_524 (Activation) (None, 30, 30, 160) 0 batch_normalization_544[0][0]
__________________________________________________________________________________________________
conv2d_545 (Conv2D) (None, 30, 30, 160) 179200 activation_524[0][0]
__________________________________________________________________________________________________
batch_normalization_545 (BatchN (None, 30, 30, 160) 480 conv2d_545[0][0]
__________________________________________________________________________________________________
activation_525 (Activation) (None, 30, 30, 160) 0 batch_normalization_545[0][0]
__________________________________________________________________________________________________
conv2d_541 (Conv2D) (None, 30, 30, 160) 122880 mixed5[0][0]
__________________________________________________________________________________________________
conv2d_546 (Conv2D) (None, 30, 30, 160) 179200 activation_525[0][0]
__________________________________________________________________________________________________
batch_normalization_541 (BatchN (None, 30, 30, 160) 480 conv2d_541[0][0]
__________________________________________________________________________________________________
batch_normalization_546 (BatchN (None, 30, 30, 160) 480 conv2d_546[0][0]
__________________________________________________________________________________________________
activation_521 (Activation) (None, 30, 30, 160) 0 batch_normalization_541[0][0]
__________________________________________________________________________________________________
activation_526 (Activation) (None, 30, 30, 160) 0 batch_normalization_546[0][0]
__________________________________________________________________________________________________
conv2d_542 (Conv2D) (None, 30, 30, 160) 179200 activation_521[0][0]
__________________________________________________________________________________________________
conv2d_547 (Conv2D) (None, 30, 30, 160) 179200 activation_526[0][0]
__________________________________________________________________________________________________
batch_normalization_542 (BatchN (None, 30, 30, 160) 480 conv2d_542[0][0]
__________________________________________________________________________________________________
batch_normalization_547 (BatchN (None, 30, 30, 160) 480 conv2d_547[0][0]
__________________________________________________________________________________________________
activation_522 (Activation) (None, 30, 30, 160) 0 batch_normalization_542[0][0]
__________________________________________________________________________________________________
activation_527 (Activation) (None, 30, 30, 160) 0 batch_normalization_547[0][0]
__________________________________________________________________________________________________
average_pooling2d_50 (AveragePo (None, 30, 30, 768) 0 mixed5[0][0]
__________________________________________________________________________________________________
conv2d_540 (Conv2D) (None, 30, 30, 192) 147456 mixed5[0][0]
__________________________________________________________________________________________________
conv2d_543 (Conv2D) (None, 30, 30, 192) 215040 activation_522[0][0]
__________________________________________________________________________________________________
conv2d_548 (Conv2D) (None, 30, 30, 192) 215040 activation_527[0][0]
__________________________________________________________________________________________________
conv2d_549 (Conv2D) (None, 30, 30, 192) 147456 average_pooling2d_50[0][0]
__________________________________________________________________________________________________
batch_normalization_540 (BatchN (None, 30, 30, 192) 576 conv2d_540[0][0]
__________________________________________________________________________________________________
batch_normalization_543 (BatchN (None, 30, 30, 192) 576 conv2d_543[0][0]
__________________________________________________________________________________________________
batch_normalization_548 (BatchN (None, 30, 30, 192) 576 conv2d_548[0][0]
__________________________________________________________________________________________________
batch_normalization_549 (BatchN (None, 30, 30, 192) 576 conv2d_549[0][0]
__________________________________________________________________________________________________
activation_520 (Activation) (None, 30, 30, 192) 0 batch_normalization_540[0][0]
__________________________________________________________________________________________________
activation_523 (Activation) (None, 30, 30, 192) 0 batch_normalization_543[0][0]
__________________________________________________________________________________________________
activation_528 (Activation) (None, 30, 30, 192) 0 batch_normalization_548[0][0]
__________________________________________________________________________________________________
activation_529 (Activation) (None, 30, 30, 192) 0 batch_normalization_549[0][0]
__________________________________________________________________________________________________
mixed6 (Concatenate) (None, 30, 30, 768) 0 activation_520[0][0]
activation_523[0][0]
activation_528[0][0]
activation_529[0][0]
__________________________________________________________________________________________________
conv2d_554 (Conv2D) (None, 30, 30, 192) 147456 mixed6[0][0]
__________________________________________________________________________________________________
batch_normalization_554 (BatchN (None, 30, 30, 192) 576 conv2d_554[0][0]
__________________________________________________________________________________________________
activation_534 (Activation) (None, 30, 30, 192) 0 batch_normalization_554[0][0]
__________________________________________________________________________________________________
conv2d_555 (Conv2D) (None, 30, 30, 192) 258048 activation_534[0][0]
__________________________________________________________________________________________________
batch_normalization_555 (BatchN (None, 30, 30, 192) 576 conv2d_555[0][0]
__________________________________________________________________________________________________
activation_535 (Activation) (None, 30, 30, 192) 0 batch_normalization_555[0][0]
__________________________________________________________________________________________________
conv2d_551 (Conv2D) (None, 30, 30, 192) 147456 mixed6[0][0]
__________________________________________________________________________________________________
conv2d_556 (Conv2D) (None, 30, 30, 192) 258048 activation_535[0][0]
__________________________________________________________________________________________________
batch_normalization_551 (BatchN (None, 30, 30, 192) 576 conv2d_551[0][0]
__________________________________________________________________________________________________
batch_normalization_556 (BatchN (None, 30, 30, 192) 576 conv2d_556[0][0]
__________________________________________________________________________________________________
activation_531 (Activation) (None, 30, 30, 192) 0 batch_normalization_551[0][0]
__________________________________________________________________________________________________
activation_536 (Activation) (None, 30, 30, 192) 0 batch_normalization_556[0][0]
__________________________________________________________________________________________________
conv2d_552 (Conv2D) (None, 30, 30, 192) 258048 activation_531[0][0]
__________________________________________________________________________________________________
conv2d_557 (Conv2D) (None, 30, 30, 192) 258048 activation_536[0][0]
__________________________________________________________________________________________________
batch_normalization_552 (BatchN (None, 30, 30, 192) 576 conv2d_552[0][0]
__________________________________________________________________________________________________
batch_normalization_557 (BatchN (None, 30, 30, 192) 576 conv2d_557[0][0]
__________________________________________________________________________________________________
activation_532 (Activation) (None, 30, 30, 192) 0 batch_normalization_552[0][0]
__________________________________________________________________________________________________
activation_537 (Activation) (None, 30, 30, 192) 0 batch_normalization_557[0][0]
__________________________________________________________________________________________________
average_pooling2d_51 (AveragePo (None, 30, 30, 768) 0 mixed6[0][0]
__________________________________________________________________________________________________
conv2d_550 (Conv2D) (None, 30, 30, 192) 147456 mixed6[0][0]
__________________________________________________________________________________________________
conv2d_553 (Conv2D) (None, 30, 30, 192) 258048 activation_532[0][0]
__________________________________________________________________________________________________
conv2d_558 (Conv2D) (None, 30, 30, 192) 258048 activation_537[0][0]
__________________________________________________________________________________________________
conv2d_559 (Conv2D) (None, 30, 30, 192) 147456 average_pooling2d_51[0][0]
__________________________________________________________________________________________________
batch_normalization_550 (BatchN (None, 30, 30, 192) 576 conv2d_550[0][0]
__________________________________________________________________________________________________
batch_normalization_553 (BatchN (None, 30, 30, 192) 576 conv2d_553[0][0]
__________________________________________________________________________________________________
batch_normalization_558 (BatchN (None, 30, 30, 192) 576 conv2d_558[0][0]
__________________________________________________________________________________________________
batch_normalization_559 (BatchN (None, 30, 30, 192) 576 conv2d_559[0][0]
__________________________________________________________________________________________________
activation_530 (Activation) (None, 30, 30, 192) 0 batch_normalization_550[0][0]
__________________________________________________________________________________________________
activation_533 (Activation) (None, 30, 30, 192) 0 batch_normalization_553[0][0]
__________________________________________________________________________________________________
activation_538 (Activation) (None, 30, 30, 192) 0 batch_normalization_558[0][0]
__________________________________________________________________________________________________
activation_539 (Activation) (None, 30, 30, 192) 0 batch_normalization_559[0][0]
__________________________________________________________________________________________________
mixed7 (Concatenate) (None, 30, 30, 768) 0 activation_530[0][0]
activation_533[0][0]
activation_538[0][0]
activation_539[0][0]
__________________________________________________________________________________________________
conv2d_562 (Conv2D) (None, 30, 30, 192) 147456 mixed7[0][0]
__________________________________________________________________________________________________
batch_normalization_562 (BatchN (None, 30, 30, 192) 576 conv2d_562[0][0]
__________________________________________________________________________________________________
activation_542 (Activation) (None, 30, 30, 192) 0 batch_normalization_562[0][0]
__________________________________________________________________________________________________
conv2d_563 (Conv2D) (None, 30, 30, 192) 258048 activation_542[0][0]
__________________________________________________________________________________________________
batch_normalization_563 (BatchN (None, 30, 30, 192) 576 conv2d_563[0][0]
__________________________________________________________________________________________________
activation_543 (Activation) (None, 30, 30, 192) 0 batch_normalization_563[0][0]
__________________________________________________________________________________________________
conv2d_560 (Conv2D) (None, 30, 30, 192) 147456 mixed7[0][0]
__________________________________________________________________________________________________
conv2d_564 (Conv2D) (None, 30, 30, 192) 258048 activation_543[0][0]
__________________________________________________________________________________________________
batch_normalization_560 (BatchN (None, 30, 30, 192) 576 conv2d_560[0][0]
__________________________________________________________________________________________________
batch_normalization_564 (BatchN (None, 30, 30, 192) 576 conv2d_564[0][0]
__________________________________________________________________________________________________
activation_540 (Activation) (None, 30, 30, 192) 0 batch_normalization_560[0][0]
__________________________________________________________________________________________________
activation_544 (Activation) (None, 30, 30, 192) 0 batch_normalization_564[0][0]
__________________________________________________________________________________________________
conv2d_561 (Conv2D) (None, 14, 14, 320) 552960 activation_540[0][0]
__________________________________________________________________________________________________
conv2d_565 (Conv2D) (None, 14, 14, 192) 331776 activation_544[0][0]
__________________________________________________________________________________________________
batch_normalization_561 (BatchN (None, 14, 14, 320) 960 conv2d_561[0][0]
__________________________________________________________________________________________________
batch_normalization_565 (BatchN (None, 14, 14, 192) 576 conv2d_565[0][0]
__________________________________________________________________________________________________
activation_541 (Activation) (None, 14, 14, 320) 0 batch_normalization_561[0][0]
__________________________________________________________________________________________________
activation_545 (Activation) (None, 14, 14, 192) 0 batch_normalization_565[0][0]
__________________________________________________________________________________________________
max_pooling2d_23 (MaxPooling2D) (None, 14, 14, 768) 0 mixed7[0][0]
__________________________________________________________________________________________________
mixed8 (Concatenate) (None, 14, 14, 1280) 0 activation_541[0][0]
activation_545[0][0]
max_pooling2d_23[0][0]
__________________________________________________________________________________________________
conv2d_570 (Conv2D) (None, 14, 14, 448) 573440 mixed8[0][0]
__________________________________________________________________________________________________
batch_normalization_570 (BatchN (None, 14, 14, 448) 1344 conv2d_570[0][0]
__________________________________________________________________________________________________
activation_550 (Activation) (None, 14, 14, 448) 0 batch_normalization_570[0][0]
__________________________________________________________________________________________________
conv2d_567 (Conv2D) (None, 14, 14, 384) 491520 mixed8[0][0]
__________________________________________________________________________________________________
conv2d_571 (Conv2D) (None, 14, 14, 384) 1548288 activation_550[0][0]
__________________________________________________________________________________________________
batch_normalization_567 (BatchN (None, 14, 14, 384) 1152 conv2d_567[0][0]
__________________________________________________________________________________________________
batch_normalization_571 (BatchN (None, 14, 14, 384) 1152 conv2d_571[0][0]
__________________________________________________________________________________________________
activation_547 (Activation) (None, 14, 14, 384) 0 batch_normalization_567[0][0]
__________________________________________________________________________________________________
activation_551 (Activation) (None, 14, 14, 384) 0 batch_normalization_571[0][0]
__________________________________________________________________________________________________
conv2d_568 (Conv2D) (None, 14, 14, 384) 442368 activation_547[0][0]
__________________________________________________________________________________________________
conv2d_569 (Conv2D) (None, 14, 14, 384) 442368 activation_547[0][0]
__________________________________________________________________________________________________
conv2d_572 (Conv2D) (None, 14, 14, 384) 442368 activation_551[0][0]
__________________________________________________________________________________________________
conv2d_573 (Conv2D) (None, 14, 14, 384) 442368 activation_551[0][0]
__________________________________________________________________________________________________
average_pooling2d_52 (AveragePo (None, 14, 14, 1280) 0 mixed8[0][0]
__________________________________________________________________________________________________
conv2d_566 (Conv2D) (None, 14, 14, 320) 409600 mixed8[0][0]
__________________________________________________________________________________________________
batch_normalization_568 (BatchN (None, 14, 14, 384) 1152 conv2d_568[0][0]
__________________________________________________________________________________________________
batch_normalization_569 (BatchN (None, 14, 14, 384) 1152 conv2d_569[0][0]
__________________________________________________________________________________________________
batch_normalization_572 (BatchN (None, 14, 14, 384) 1152 conv2d_572[0][0]
__________________________________________________________________________________________________
batch_normalization_573 (BatchN (None, 14, 14, 384) 1152 conv2d_573[0][0]
__________________________________________________________________________________________________
conv2d_574 (Conv2D) (None, 14, 14, 192) 245760 average_pooling2d_52[0][0]
__________________________________________________________________________________________________
batch_normalization_566 (BatchN (None, 14, 14, 320) 960 conv2d_566[0][0]
__________________________________________________________________________________________________
activation_548 (Activation) (None, 14, 14, 384) 0 batch_normalization_568[0][0]
__________________________________________________________________________________________________
activation_549 (Activation) (None, 14, 14, 384) 0 batch_normalization_569[0][0]
__________________________________________________________________________________________________
activation_552 (Activation) (None, 14, 14, 384) 0 batch_normalization_572[0][0]
__________________________________________________________________________________________________
activation_553 (Activation) (None, 14, 14, 384) 0 batch_normalization_573[0][0]
__________________________________________________________________________________________________
batch_normalization_574 (BatchN (None, 14, 14, 192) 576 conv2d_574[0][0]
__________________________________________________________________________________________________
activation_546 (Activation) (None, 14, 14, 320) 0 batch_normalization_566[0][0]
__________________________________________________________________________________________________
mixed9_0 (Concatenate) (None, 14, 14, 768) 0 activation_548[0][0]
activation_549[0][0]
__________________________________________________________________________________________________
concatenate_10 (Concatenate) (None, 14, 14, 768) 0 activation_552[0][0]
activation_553[0][0]
__________________________________________________________________________________________________
activation_554 (Activation) (None, 14, 14, 192) 0 batch_normalization_574[0][0]
__________________________________________________________________________________________________
mixed9 (Concatenate) (None, 14, 14, 2048) 0 activation_546[0][0]
mixed9_0[0][0]
concatenate_10[0][0]
activation_554[0][0]
__________________________________________________________________________________________________
conv2d_579 (Conv2D) (None, 14, 14, 448) 917504 mixed9[0][0]
__________________________________________________________________________________________________
batch_normalization_579 (BatchN (None, 14, 14, 448) 1344 conv2d_579[0][0]
__________________________________________________________________________________________________
activation_559 (Activation) (None, 14, 14, 448) 0 batch_normalization_579[0][0]
__________________________________________________________________________________________________
conv2d_576 (Conv2D) (None, 14, 14, 384) 786432 mixed9[0][0]
__________________________________________________________________________________________________
conv2d_580 (Conv2D) (None, 14, 14, 384) 1548288 activation_559[0][0]
__________________________________________________________________________________________________
batch_normalization_576 (BatchN (None, 14, 14, 384) 1152 conv2d_576[0][0]
__________________________________________________________________________________________________
batch_normalization_580 (BatchN (None, 14, 14, 384) 1152 conv2d_580[0][0]
__________________________________________________________________________________________________
activation_556 (Activation) (None, 14, 14, 384) 0 batch_normalization_576[0][0]
__________________________________________________________________________________________________
activation_560 (Activation) (None, 14, 14, 384) 0 batch_normalization_580[0][0]
__________________________________________________________________________________________________
conv2d_577 (Conv2D) (None, 14, 14, 384) 442368 activation_556[0][0]
__________________________________________________________________________________________________
conv2d_578 (Conv2D) (None, 14, 14, 384) 442368 activation_556[0][0]
__________________________________________________________________________________________________
conv2d_581 (Conv2D) (None, 14, 14, 384) 442368 activation_560[0][0]
__________________________________________________________________________________________________
conv2d_582 (Conv2D) (None, 14, 14, 384) 442368 activation_560[0][0]
__________________________________________________________________________________________________
average_pooling2d_53 (AveragePo (None, 14, 14, 2048) 0 mixed9[0][0]
__________________________________________________________________________________________________
conv2d_575 (Conv2D) (None, 14, 14, 320) 655360 mixed9[0][0]
__________________________________________________________________________________________________
batch_normalization_577 (BatchN (None, 14, 14, 384) 1152 conv2d_577[0][0]
__________________________________________________________________________________________________
batch_normalization_578 (BatchN (None, 14, 14, 384) 1152 conv2d_578[0][0]
__________________________________________________________________________________________________
batch_normalization_581 (BatchN (None, 14, 14, 384) 1152 conv2d_581[0][0]
__________________________________________________________________________________________________
batch_normalization_582 (BatchN (None, 14, 14, 384) 1152 conv2d_582[0][0]
__________________________________________________________________________________________________
conv2d_583 (Conv2D) (None, 14, 14, 192) 393216 average_pooling2d_53[0][0]
__________________________________________________________________________________________________
batch_normalization_575 (BatchN (None, 14, 14, 320) 960 conv2d_575[0][0]
__________________________________________________________________________________________________
activation_557 (Activation) (None, 14, 14, 384) 0 batch_normalization_577[0][0]
__________________________________________________________________________________________________
activation_558 (Activation) (None, 14, 14, 384) 0 batch_normalization_578[0][0]
__________________________________________________________________________________________________
activation_561 (Activation) (None, 14, 14, 384) 0 batch_normalization_581[0][0]
__________________________________________________________________________________________________
activation_562 (Activation) (None, 14, 14, 384) 0 batch_normalization_582[0][0]
__________________________________________________________________________________________________
batch_normalization_583 (BatchN (None, 14, 14, 192) 576 conv2d_583[0][0]
__________________________________________________________________________________________________
activation_555 (Activation) (None, 14, 14, 320) 0 batch_normalization_575[0][0]
__________________________________________________________________________________________________
mixed9_1 (Concatenate) (None, 14, 14, 768) 0 activation_557[0][0]
activation_558[0][0]
__________________________________________________________________________________________________
concatenate_11 (Concatenate) (None, 14, 14, 768) 0 activation_561[0][0]
activation_562[0][0]
__________________________________________________________________________________________________
activation_563 (Activation) (None, 14, 14, 192) 0 batch_normalization_583[0][0]
__________________________________________________________________________________________________
mixed10 (Concatenate) (None, 14, 14, 2048) 0 activation_555[0][0]
mixed9_1[0][0]
concatenate_11[0][0]
activation_563[0][0]
__________________________________________________________________________________________________
global_average_pooling2d_16 (Gl (None, 2048) 0 mixed10[0][0]
__________________________________________________________________________________________________
dense_16 (Dense) (None, 2) 4098 global_average_pooling2d_16[0][0]
==================================================================================================
Total params: 21,806,882
Trainable params: 21,772,450
Non-trainable params: 34,432
__________________________________________________________________________________________________
def xception_architecture():
"""
Pre-build architecture of inception for our dataset.
"""
# Imprting the model
from keras.applications.xception import Xception
# Pre-build model
base_model = Xception(include_top = False, weights = None, input_tensor = model_input)
# Adding output layers
x = base_model.output
x = GlobalAveragePooling2D()(x)
output = Dense(units = 2, activation = 'softmax')(x)
# Creating the whole model
xception_model = Model(base_model.input, output)
# Summary of the model
xception_model.summary()
# Compiling the model
xception_model.compile(optimizer = keras.optimizers.Adam(lr = 0.001),
loss = 'categorical_crossentropy',
metrics = ['accuracy'])
return xception_model
# Model 3
xception_model = xception_architecture()
xception_model.load_weights("/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/xception_weights.hdf5")
Model: "model_17"
__________________________________________________________________________________________________
Layer (type) Output Shape Param # Connected to
==================================================================================================
input_11 (InputLayer) [(None, 512, 512, 3) 0
__________________________________________________________________________________________________
block1_conv1 (Conv2D) (None, 255, 255, 32) 864 input_11[0][0]
__________________________________________________________________________________________________
block1_conv1_bn (BatchNormaliza (None, 255, 255, 32) 128 block1_conv1[0][0]
__________________________________________________________________________________________________
block1_conv1_act (Activation) (None, 255, 255, 32) 0 block1_conv1_bn[0][0]
__________________________________________________________________________________________________
block1_conv2 (Conv2D) (None, 253, 253, 64) 18432 block1_conv1_act[0][0]
__________________________________________________________________________________________________
block1_conv2_bn (BatchNormaliza (None, 253, 253, 64) 256 block1_conv2[0][0]
__________________________________________________________________________________________________
block1_conv2_act (Activation) (None, 253, 253, 64) 0 block1_conv2_bn[0][0]
__________________________________________________________________________________________________
block2_sepconv1 (SeparableConv2 (None, 253, 253, 128 8768 block1_conv2_act[0][0]
__________________________________________________________________________________________________
block2_sepconv1_bn (BatchNormal (None, 253, 253, 128 512 block2_sepconv1[0][0]
__________________________________________________________________________________________________
block2_sepconv2_act (Activation (None, 253, 253, 128 0 block2_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block2_sepconv2 (SeparableConv2 (None, 253, 253, 128 17536 block2_sepconv2_act[0][0]
__________________________________________________________________________________________________
block2_sepconv2_bn (BatchNormal (None, 253, 253, 128 512 block2_sepconv2[0][0]
__________________________________________________________________________________________________
conv2d_584 (Conv2D) (None, 127, 127, 128 8192 block1_conv2_act[0][0]
__________________________________________________________________________________________________
block2_pool (MaxPooling2D) (None, 127, 127, 128 0 block2_sepconv2_bn[0][0]
__________________________________________________________________________________________________
batch_normalization_584 (BatchN (None, 127, 127, 128 512 conv2d_584[0][0]
__________________________________________________________________________________________________
add_60 (Add) (None, 127, 127, 128 0 block2_pool[0][0]
batch_normalization_584[0][0]
__________________________________________________________________________________________________
block3_sepconv1_act (Activation (None, 127, 127, 128 0 add_60[0][0]
__________________________________________________________________________________________________
block3_sepconv1 (SeparableConv2 (None, 127, 127, 256 33920 block3_sepconv1_act[0][0]
__________________________________________________________________________________________________
block3_sepconv1_bn (BatchNormal (None, 127, 127, 256 1024 block3_sepconv1[0][0]
__________________________________________________________________________________________________
block3_sepconv2_act (Activation (None, 127, 127, 256 0 block3_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block3_sepconv2 (SeparableConv2 (None, 127, 127, 256 67840 block3_sepconv2_act[0][0]
__________________________________________________________________________________________________
block3_sepconv2_bn (BatchNormal (None, 127, 127, 256 1024 block3_sepconv2[0][0]
__________________________________________________________________________________________________
conv2d_585 (Conv2D) (None, 64, 64, 256) 32768 add_60[0][0]
__________________________________________________________________________________________________
block3_pool (MaxPooling2D) (None, 64, 64, 256) 0 block3_sepconv2_bn[0][0]
__________________________________________________________________________________________________
batch_normalization_585 (BatchN (None, 64, 64, 256) 1024 conv2d_585[0][0]
__________________________________________________________________________________________________
add_61 (Add) (None, 64, 64, 256) 0 block3_pool[0][0]
batch_normalization_585[0][0]
__________________________________________________________________________________________________
block4_sepconv1_act (Activation (None, 64, 64, 256) 0 add_61[0][0]
__________________________________________________________________________________________________
block4_sepconv1 (SeparableConv2 (None, 64, 64, 728) 188672 block4_sepconv1_act[0][0]
__________________________________________________________________________________________________
block4_sepconv1_bn (BatchNormal (None, 64, 64, 728) 2912 block4_sepconv1[0][0]
__________________________________________________________________________________________________
block4_sepconv2_act (Activation (None, 64, 64, 728) 0 block4_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block4_sepconv2 (SeparableConv2 (None, 64, 64, 728) 536536 block4_sepconv2_act[0][0]
__________________________________________________________________________________________________
block4_sepconv2_bn (BatchNormal (None, 64, 64, 728) 2912 block4_sepconv2[0][0]
__________________________________________________________________________________________________
conv2d_586 (Conv2D) (None, 32, 32, 728) 186368 add_61[0][0]
__________________________________________________________________________________________________
block4_pool (MaxPooling2D) (None, 32, 32, 728) 0 block4_sepconv2_bn[0][0]
__________________________________________________________________________________________________
batch_normalization_586 (BatchN (None, 32, 32, 728) 2912 conv2d_586[0][0]
__________________________________________________________________________________________________
add_62 (Add) (None, 32, 32, 728) 0 block4_pool[0][0]
batch_normalization_586[0][0]
__________________________________________________________________________________________________
block5_sepconv1_act (Activation (None, 32, 32, 728) 0 add_62[0][0]
__________________________________________________________________________________________________
block5_sepconv1 (SeparableConv2 (None, 32, 32, 728) 536536 block5_sepconv1_act[0][0]
__________________________________________________________________________________________________
block5_sepconv1_bn (BatchNormal (None, 32, 32, 728) 2912 block5_sepconv1[0][0]
__________________________________________________________________________________________________
block5_sepconv2_act (Activation (None, 32, 32, 728) 0 block5_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block5_sepconv2 (SeparableConv2 (None, 32, 32, 728) 536536 block5_sepconv2_act[0][0]
__________________________________________________________________________________________________
block5_sepconv2_bn (BatchNormal (None, 32, 32, 728) 2912 block5_sepconv2[0][0]
__________________________________________________________________________________________________
block5_sepconv3_act (Activation (None, 32, 32, 728) 0 block5_sepconv2_bn[0][0]
__________________________________________________________________________________________________
block5_sepconv3 (SeparableConv2 (None, 32, 32, 728) 536536 block5_sepconv3_act[0][0]
__________________________________________________________________________________________________
block5_sepconv3_bn (BatchNormal (None, 32, 32, 728) 2912 block5_sepconv3[0][0]
__________________________________________________________________________________________________
add_63 (Add) (None, 32, 32, 728) 0 block5_sepconv3_bn[0][0]
add_62[0][0]
__________________________________________________________________________________________________
block6_sepconv1_act (Activation (None, 32, 32, 728) 0 add_63[0][0]
__________________________________________________________________________________________________
block6_sepconv1 (SeparableConv2 (None, 32, 32, 728) 536536 block6_sepconv1_act[0][0]
__________________________________________________________________________________________________
block6_sepconv1_bn (BatchNormal (None, 32, 32, 728) 2912 block6_sepconv1[0][0]
__________________________________________________________________________________________________
block6_sepconv2_act (Activation (None, 32, 32, 728) 0 block6_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block6_sepconv2 (SeparableConv2 (None, 32, 32, 728) 536536 block6_sepconv2_act[0][0]
__________________________________________________________________________________________________
block6_sepconv2_bn (BatchNormal (None, 32, 32, 728) 2912 block6_sepconv2[0][0]
__________________________________________________________________________________________________
block6_sepconv3_act (Activation (None, 32, 32, 728) 0 block6_sepconv2_bn[0][0]
__________________________________________________________________________________________________
block6_sepconv3 (SeparableConv2 (None, 32, 32, 728) 536536 block6_sepconv3_act[0][0]
__________________________________________________________________________________________________
block6_sepconv3_bn (BatchNormal (None, 32, 32, 728) 2912 block6_sepconv3[0][0]
__________________________________________________________________________________________________
add_64 (Add) (None, 32, 32, 728) 0 block6_sepconv3_bn[0][0]
add_63[0][0]
__________________________________________________________________________________________________
block7_sepconv1_act (Activation (None, 32, 32, 728) 0 add_64[0][0]
__________________________________________________________________________________________________
block7_sepconv1 (SeparableConv2 (None, 32, 32, 728) 536536 block7_sepconv1_act[0][0]
__________________________________________________________________________________________________
block7_sepconv1_bn (BatchNormal (None, 32, 32, 728) 2912 block7_sepconv1[0][0]
__________________________________________________________________________________________________
block7_sepconv2_act (Activation (None, 32, 32, 728) 0 block7_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block7_sepconv2 (SeparableConv2 (None, 32, 32, 728) 536536 block7_sepconv2_act[0][0]
__________________________________________________________________________________________________
block7_sepconv2_bn (BatchNormal (None, 32, 32, 728) 2912 block7_sepconv2[0][0]
__________________________________________________________________________________________________
block7_sepconv3_act (Activation (None, 32, 32, 728) 0 block7_sepconv2_bn[0][0]
__________________________________________________________________________________________________
block7_sepconv3 (SeparableConv2 (None, 32, 32, 728) 536536 block7_sepconv3_act[0][0]
__________________________________________________________________________________________________
block7_sepconv3_bn (BatchNormal (None, 32, 32, 728) 2912 block7_sepconv3[0][0]
__________________________________________________________________________________________________
add_65 (Add) (None, 32, 32, 728) 0 block7_sepconv3_bn[0][0]
add_64[0][0]
__________________________________________________________________________________________________
block8_sepconv1_act (Activation (None, 32, 32, 728) 0 add_65[0][0]
__________________________________________________________________________________________________
block8_sepconv1 (SeparableConv2 (None, 32, 32, 728) 536536 block8_sepconv1_act[0][0]
__________________________________________________________________________________________________
block8_sepconv1_bn (BatchNormal (None, 32, 32, 728) 2912 block8_sepconv1[0][0]
__________________________________________________________________________________________________
block8_sepconv2_act (Activation (None, 32, 32, 728) 0 block8_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block8_sepconv2 (SeparableConv2 (None, 32, 32, 728) 536536 block8_sepconv2_act[0][0]
__________________________________________________________________________________________________
block8_sepconv2_bn (BatchNormal (None, 32, 32, 728) 2912 block8_sepconv2[0][0]
__________________________________________________________________________________________________
block8_sepconv3_act (Activation (None, 32, 32, 728) 0 block8_sepconv2_bn[0][0]
__________________________________________________________________________________________________
block8_sepconv3 (SeparableConv2 (None, 32, 32, 728) 536536 block8_sepconv3_act[0][0]
__________________________________________________________________________________________________
block8_sepconv3_bn (BatchNormal (None, 32, 32, 728) 2912 block8_sepconv3[0][0]
__________________________________________________________________________________________________
add_66 (Add) (None, 32, 32, 728) 0 block8_sepconv3_bn[0][0]
add_65[0][0]
__________________________________________________________________________________________________
block9_sepconv1_act (Activation (None, 32, 32, 728) 0 add_66[0][0]
__________________________________________________________________________________________________
block9_sepconv1 (SeparableConv2 (None, 32, 32, 728) 536536 block9_sepconv1_act[0][0]
__________________________________________________________________________________________________
block9_sepconv1_bn (BatchNormal (None, 32, 32, 728) 2912 block9_sepconv1[0][0]
__________________________________________________________________________________________________
block9_sepconv2_act (Activation (None, 32, 32, 728) 0 block9_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block9_sepconv2 (SeparableConv2 (None, 32, 32, 728) 536536 block9_sepconv2_act[0][0]
__________________________________________________________________________________________________
block9_sepconv2_bn (BatchNormal (None, 32, 32, 728) 2912 block9_sepconv2[0][0]
__________________________________________________________________________________________________
block9_sepconv3_act (Activation (None, 32, 32, 728) 0 block9_sepconv2_bn[0][0]
__________________________________________________________________________________________________
block9_sepconv3 (SeparableConv2 (None, 32, 32, 728) 536536 block9_sepconv3_act[0][0]
__________________________________________________________________________________________________
block9_sepconv3_bn (BatchNormal (None, 32, 32, 728) 2912 block9_sepconv3[0][0]
__________________________________________________________________________________________________
add_67 (Add) (None, 32, 32, 728) 0 block9_sepconv3_bn[0][0]
add_66[0][0]
__________________________________________________________________________________________________
block10_sepconv1_act (Activatio (None, 32, 32, 728) 0 add_67[0][0]
__________________________________________________________________________________________________
block10_sepconv1 (SeparableConv (None, 32, 32, 728) 536536 block10_sepconv1_act[0][0]
__________________________________________________________________________________________________
block10_sepconv1_bn (BatchNorma (None, 32, 32, 728) 2912 block10_sepconv1[0][0]
__________________________________________________________________________________________________
block10_sepconv2_act (Activatio (None, 32, 32, 728) 0 block10_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block10_sepconv2 (SeparableConv (None, 32, 32, 728) 536536 block10_sepconv2_act[0][0]
__________________________________________________________________________________________________
block10_sepconv2_bn (BatchNorma (None, 32, 32, 728) 2912 block10_sepconv2[0][0]
__________________________________________________________________________________________________
block10_sepconv3_act (Activatio (None, 32, 32, 728) 0 block10_sepconv2_bn[0][0]
__________________________________________________________________________________________________
block10_sepconv3 (SeparableConv (None, 32, 32, 728) 536536 block10_sepconv3_act[0][0]
__________________________________________________________________________________________________
block10_sepconv3_bn (BatchNorma (None, 32, 32, 728) 2912 block10_sepconv3[0][0]
__________________________________________________________________________________________________
add_68 (Add) (None, 32, 32, 728) 0 block10_sepconv3_bn[0][0]
add_67[0][0]
__________________________________________________________________________________________________
block11_sepconv1_act (Activatio (None, 32, 32, 728) 0 add_68[0][0]
__________________________________________________________________________________________________
block11_sepconv1 (SeparableConv (None, 32, 32, 728) 536536 block11_sepconv1_act[0][0]
__________________________________________________________________________________________________
block11_sepconv1_bn (BatchNorma (None, 32, 32, 728) 2912 block11_sepconv1[0][0]
__________________________________________________________________________________________________
block11_sepconv2_act (Activatio (None, 32, 32, 728) 0 block11_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block11_sepconv2 (SeparableConv (None, 32, 32, 728) 536536 block11_sepconv2_act[0][0]
__________________________________________________________________________________________________
block11_sepconv2_bn (BatchNorma (None, 32, 32, 728) 2912 block11_sepconv2[0][0]
__________________________________________________________________________________________________
block11_sepconv3_act (Activatio (None, 32, 32, 728) 0 block11_sepconv2_bn[0][0]
__________________________________________________________________________________________________
block11_sepconv3 (SeparableConv (None, 32, 32, 728) 536536 block11_sepconv3_act[0][0]
__________________________________________________________________________________________________
block11_sepconv3_bn (BatchNorma (None, 32, 32, 728) 2912 block11_sepconv3[0][0]
__________________________________________________________________________________________________
add_69 (Add) (None, 32, 32, 728) 0 block11_sepconv3_bn[0][0]
add_68[0][0]
__________________________________________________________________________________________________
block12_sepconv1_act (Activatio (None, 32, 32, 728) 0 add_69[0][0]
__________________________________________________________________________________________________
block12_sepconv1 (SeparableConv (None, 32, 32, 728) 536536 block12_sepconv1_act[0][0]
__________________________________________________________________________________________________
block12_sepconv1_bn (BatchNorma (None, 32, 32, 728) 2912 block12_sepconv1[0][0]
__________________________________________________________________________________________________
block12_sepconv2_act (Activatio (None, 32, 32, 728) 0 block12_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block12_sepconv2 (SeparableConv (None, 32, 32, 728) 536536 block12_sepconv2_act[0][0]
__________________________________________________________________________________________________
block12_sepconv2_bn (BatchNorma (None, 32, 32, 728) 2912 block12_sepconv2[0][0]
__________________________________________________________________________________________________
block12_sepconv3_act (Activatio (None, 32, 32, 728) 0 block12_sepconv2_bn[0][0]
__________________________________________________________________________________________________
block12_sepconv3 (SeparableConv (None, 32, 32, 728) 536536 block12_sepconv3_act[0][0]
__________________________________________________________________________________________________
block12_sepconv3_bn (BatchNorma (None, 32, 32, 728) 2912 block12_sepconv3[0][0]
__________________________________________________________________________________________________
add_70 (Add) (None, 32, 32, 728) 0 block12_sepconv3_bn[0][0]
add_69[0][0]
__________________________________________________________________________________________________
block13_sepconv1_act (Activatio (None, 32, 32, 728) 0 add_70[0][0]
__________________________________________________________________________________________________
block13_sepconv1 (SeparableConv (None, 32, 32, 728) 536536 block13_sepconv1_act[0][0]
__________________________________________________________________________________________________
block13_sepconv1_bn (BatchNorma (None, 32, 32, 728) 2912 block13_sepconv1[0][0]
__________________________________________________________________________________________________
block13_sepconv2_act (Activatio (None, 32, 32, 728) 0 block13_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block13_sepconv2 (SeparableConv (None, 32, 32, 1024) 752024 block13_sepconv2_act[0][0]
__________________________________________________________________________________________________
block13_sepconv2_bn (BatchNorma (None, 32, 32, 1024) 4096 block13_sepconv2[0][0]
__________________________________________________________________________________________________
conv2d_587 (Conv2D) (None, 16, 16, 1024) 745472 add_70[0][0]
__________________________________________________________________________________________________
block13_pool (MaxPooling2D) (None, 16, 16, 1024) 0 block13_sepconv2_bn[0][0]
__________________________________________________________________________________________________
batch_normalization_587 (BatchN (None, 16, 16, 1024) 4096 conv2d_587[0][0]
__________________________________________________________________________________________________
add_71 (Add) (None, 16, 16, 1024) 0 block13_pool[0][0]
batch_normalization_587[0][0]
__________________________________________________________________________________________________
block14_sepconv1 (SeparableConv (None, 16, 16, 1536) 1582080 add_71[0][0]
__________________________________________________________________________________________________
block14_sepconv1_bn (BatchNorma (None, 16, 16, 1536) 6144 block14_sepconv1[0][0]
__________________________________________________________________________________________________
block14_sepconv1_act (Activatio (None, 16, 16, 1536) 0 block14_sepconv1_bn[0][0]
__________________________________________________________________________________________________
block14_sepconv2 (SeparableConv (None, 16, 16, 2048) 3159552 block14_sepconv1_act[0][0]
__________________________________________________________________________________________________
block14_sepconv2_bn (BatchNorma (None, 16, 16, 2048) 8192 block14_sepconv2[0][0]
__________________________________________________________________________________________________
block14_sepconv2_act (Activatio (None, 16, 16, 2048) 0 block14_sepconv2_bn[0][0]
__________________________________________________________________________________________________
global_average_pooling2d_17 (Gl (None, 2048) 0 block14_sepconv2_act[0][0]
__________________________________________________________________________________________________
dense_17 (Dense) (None, 2) 4098 global_average_pooling2d_17[0][0]
==================================================================================================
Total params: 20,865,578
Trainable params: 20,811,050
Non-trainable params: 54,528
__________________________________________________________________________________________________
# Appending all models
models = [mobilenet_model, inception_model, xception_model]
def ensemble(models, model_input):
outputs = [model.outputs[0] for model in models]
y = keras.layers.Average()(outputs)
model = Model(model_input, y, name='ensemble')
return model
# Getting ensemble model
ensemble_model = ensemble(models, model_input)
# Compute test set predictions
#model_architecture,path_model_weight
NUMBER_TEST_SAMPLES_Ensemble_Test = 600
all_weights_combined_as_list = weights_of_MobileNet_Inception_and_Xception
y_true_Ensemble_Test = test_targets[:NUMBER_TEST_SAMPLES_Ensemble_Test]
y_score_Ensemble_Test = []
for index in range(NUMBER_TEST_SAMPLES_Ensemble_Test): #compute one at a time due to memory constraints
probs_Ensemble_Test = predict_ensemble(img_path = test_files[index], model_architecture = ensemble_model, path_model_weight = "/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5")
print("Real values {}...".format(index+1) + "Melanoma : ", test_targets[index][0], " | Other : ", test_targets[index][1])
print("---------------------------------------------------------------------------")
y_score_Ensemble_Test.append(probs_Ensemble_Test)
correct_Ensemble_Test = np.array(y_true_Ensemble_Test) == np.array(y_score_Ensemble_Test)
Streaming output truncated to the last 5000 lines.
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7932675 | Other : 0.20673251
Real values 146...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013891.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79558945 | Other : 0.20441055
Real values 147...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013998.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.82963395 | Other : 0.17036602
Real values 148...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013925.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79326814 | Other : 0.20673186
Real values 149...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014103.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7934345 | Other : 0.20656554
Real values 150...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014006.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.8035139 | Other : 0.19648616
Real values 151...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014177.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.78758943 | Other : 0.21241067
Real values 152...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014148.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7950778 | Other : 0.20492224
Real values 153...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014129.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.8166069 | Other : 0.18339317
Real values 154...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014160.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7952621 | Other : 0.20473787
Real values 155...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014117.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79467046 | Other : 0.20532954
Real values 156...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014090.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79414845 | Other : 0.20585155
Real values 157...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014186.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7936207 | Other : 0.20637934
Real values 158...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014110.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7934456 | Other : 0.20655444
Real values 159...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014181.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7934457 | Other : 0.20655434
Real values 160...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014077.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79326534 | Other : 0.2067347
Real values 161...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014027.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.8295125 | Other : 0.17048757
Real values 162...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014059.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79330635 | Other : 0.2066937
Real values 163...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014336.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.8297523 | Other : 0.17024772
Real values 164...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014319.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79405415 | Other : 0.2059459
Real values 165...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014255.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7930326 | Other : 0.20696744
Real values 166...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014270.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7933788 | Other : 0.20662127
Real values 167...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014369.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7943346 | Other : 0.20566541
Real values 168...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014349.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79435414 | Other : 0.2056458
Real values 169...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014251.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7942679 | Other : 0.20573208
Real values 170...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014221.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7940301 | Other : 0.20597002
Real values 171...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014278.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79340833 | Other : 0.2065917
Real values 172...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014288.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79331154 | Other : 0.20668845
Real values 173...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014233.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7938308 | Other : 0.20616925
Real values 174...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014219.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7933483 | Other : 0.20665169
Real values 175...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014284.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7937374 | Other : 0.20626251
Real values 176...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014386.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7838197 | Other : 0.21618032
Real values 177...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014423.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7935466 | Other : 0.20645338
Real values 178...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014470.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7532419 | Other : 0.24675816
Real values 179...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014489.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.8091402 | Other : 0.19085972
Real values 180...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014392.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7959393 | Other : 0.20406067
Real values 181...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014503.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79318714 | Other : 0.20681286
Real values 182...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014500.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7938156 | Other : 0.20618437
Real values 183...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014419.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7943441 | Other : 0.20565587
Real values 184...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014454.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.817415 | Other : 0.18258505
Real values 185...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014457.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7934859 | Other : 0.20651412
Real values 186...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014434.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.82920384 | Other : 0.17079616
Real values 187...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014474.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7932409 | Other : 0.20675907
Real values 188...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014506.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79401076 | Other : 0.20598924
Real values 189...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014478.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7943152 | Other : 0.20568483
Real values 190...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014409.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.82966566 | Other : 0.17033432
Real values 191...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014567.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.77977055 | Other : 0.22022939
Real values 192...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014574.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.78214455 | Other : 0.21785545
Real values 193...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014541.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.81935966 | Other : 0.18064037
Real values 194...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014513.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7947444 | Other : 0.20525567
Real values 195...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014600.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7988113 | Other : 0.20118873
Real values 196...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014586.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7962114 | Other : 0.20378856
Real values 197...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014587.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7779798 | Other : 0.22202021
Real values 198...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014542.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79642105 | Other : 0.203579
Real values 199...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014588.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7571665 | Other : 0.24283355
Real values 200...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014559.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7936756 | Other : 0.20632446
Real values 201...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014619.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.76598525 | Other : 0.23401475
Real values 202...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014575.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79602635 | Other : 0.20397371
Real values 203...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014546.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.8202397 | Other : 0.17976026
Real values 204...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014548.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79208744 | Other : 0.20791261
Real values 205...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014590.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7658404 | Other : 0.23415962
Real values 206...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014634.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7893903 | Other : 0.21060967
Real values 207...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014644.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7951991 | Other : 0.20480093
Real values 208...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014647.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7972905 | Other : 0.20270959
Real values 209...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014643.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.78999114 | Other : 0.21000886
Real values 210...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014652.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79303634 | Other : 0.2069637
Real values 211...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014653.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.794115 | Other : 0.20588505
Real values 212...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014629.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7922127 | Other : 0.20778725
Real values 213...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014648.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7942172 | Other : 0.20578282
Real values 214...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014626.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7854566 | Other : 0.21454343
Real values 215...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014631.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.8076401 | Other : 0.19235997
Real values 216...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014627.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7956637 | Other : 0.20433637
Real values 217...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014649.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7984292 | Other : 0.20157084
Real values 218...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014645.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7757729 | Other : 0.22422716
Real values 219...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014675.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79747957 | Other : 0.20252052
Real values 220...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014666.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79522777 | Other : 0.20477223
Real values 221...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014663.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7962944 | Other : 0.2037056
Real values 222...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014687.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7956588 | Other : 0.20434126
Real values 223...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014677.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7870342 | Other : 0.21296583
Real values 224...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014698.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7936491 | Other : 0.20635095
Real values 225...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014703.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.78212786 | Other : 0.21787219
Real values 226...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014697.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79466337 | Other : 0.20533666
Real values 227...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014695.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7817488 | Other : 0.21825123
Real values 228...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014693.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7932389 | Other : 0.2067611
Real values 229...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014740.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79393375 | Other : 0.2060663
Real values 230...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014725.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.795545 | Other : 0.20445506
Real values 231...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014720.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7944975 | Other : 0.20550254
Real values 232...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014729.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7816381 | Other : 0.21836194
Real values 233...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014743.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7947404 | Other : 0.2052596
Real values 234...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014727.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7935114 | Other : 0.20648867
Real values 235...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014728.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7935111 | Other : 0.20648903
Real values 236...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014746.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7944281 | Other : 0.20557192
Real values 237...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014749.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7935981 | Other : 0.20640187
Real values 238...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014766.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7953328 | Other : 0.20466726
Real values 239...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014768.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7945839 | Other : 0.20541617
Real values 240...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014765.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7967249 | Other : 0.20327513
Real values 241...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014753.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79410315 | Other : 0.20589688
Real values 242...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014755.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79378545 | Other : 0.20621464
Real values 243...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014790.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7944827 | Other : 0.20551726
Real values 244...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014772.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79574203 | Other : 0.20425794
Real values 245...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014786.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79426086 | Other : 0.20573923
Real values 246...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014784.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79454535 | Other : 0.20545469
Real values 247...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014773.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79368323 | Other : 0.20631675
Real values 248...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014780.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79587543 | Other : 0.20412461
Real values 249...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014787.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79387 | Other : 0.20613003
Real values 250...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014814.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7947744 | Other : 0.20522568
Real values 251...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014800.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7964783 | Other : 0.2035217
Real values 252...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014796.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7941548 | Other : 0.20584527
Real values 253...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014798.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7934116 | Other : 0.20658842
Real values 254...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014807.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79493856 | Other : 0.20506136
Real values 255...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014792.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7936933 | Other : 0.20630674
Real values 256...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014826.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79308766 | Other : 0.20691234
Real values 257...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014815.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7875676 | Other : 0.21243235
Real values 258...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014835.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7942846 | Other : 0.20571542
Real values 259...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014844.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79449975 | Other : 0.20550027
Real values 260...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014820.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7956897 | Other : 0.20431034
Real values 261...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014833.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.789164 | Other : 0.21083602
Real values 262...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014822.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7941426 | Other : 0.2058575
Real values 263...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014862.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7949287 | Other : 0.20507133
Real values 264...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014867.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7804546 | Other : 0.21954548
Real values 265...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014853.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7936051 | Other : 0.20639491
Real values 266...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014868.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7938654 | Other : 0.20613466
Real values 267...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014854.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79339784 | Other : 0.20660216
Real values 268...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014863.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7951409 | Other : 0.20485911
Real values 269...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014879.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79614806 | Other : 0.20385198
Real values 270...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014876.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79356307 | Other : 0.20643693
Real values 271...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014907.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79388714 | Other : 0.20611286
Real values 272...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014901.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7941761 | Other : 0.20582394
Real values 273...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014883.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.793044 | Other : 0.20695603
Real values 274...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014872.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7814399 | Other : 0.21856014
Real values 275...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014921.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7946496 | Other : 0.20535037
Real values 276...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014928.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7667006 | Other : 0.23329942
Real values 277...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014932.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7906282 | Other : 0.20937178
Real values 278...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014927.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7934238 | Other : 0.20657627
Real values 279...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014912.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.794332 | Other : 0.20566797
Real values 280...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014910.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7942276 | Other : 0.2057724
Real values 281...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014941.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79297984 | Other : 0.20702025
Real values 282...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014943.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79707164 | Other : 0.20292842
Real values 283...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014938.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7941567 | Other : 0.20584333
Real values 284...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014936.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79390085 | Other : 0.20609918
Real values 285...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014942.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.78428835 | Other : 0.21571164
Real values 286...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014940.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7911601 | Other : 0.2088399
Real values 287...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014949.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79423493 | Other : 0.20576505
Real values 288...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014947.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.793249 | Other : 0.20675103
Real values 289...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014948.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7945336 | Other : 0.20546643
Real values 290...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014952.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7932191 | Other : 0.20678088
Real values 291...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014944.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.795144 | Other : 0.20485604
Real values 292...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014956.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7936505 | Other : 0.20634955
Real values 293...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014955.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7802357 | Other : 0.21976434
Real values 294...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014957.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7948866 | Other : 0.2051134
Real values 295...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014959.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7810275 | Other : 0.21897253
Real values 296...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014961.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79522717 | Other : 0.20477287
Real values 297...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014958.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7931323 | Other : 0.20686772
Real values 298...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014964.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79375124 | Other : 0.20624876
Real values 299...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014962.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7933385 | Other : 0.20666158
Real values 300...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014966.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7941682 | Other : 0.20583181
Real values 301...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014969.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79317874 | Other : 0.20682123
Real values 302...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014963.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7935853 | Other : 0.20641473
Real values 303...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014968.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79392433 | Other : 0.20607567
Real values 304...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014974.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79481924 | Other : 0.20518081
Real values 305...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014982.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79022044 | Other : 0.20977962
Real values 306...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014973.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.793409 | Other : 0.20659101
Real values 307...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014977.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7958328 | Other : 0.20416719
Real values 308...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014994.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7950212 | Other : 0.20497887
Real values 309...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014992.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.794927 | Other : 0.20507306
Real values 310...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014998.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79394746 | Other : 0.20605253
Real values 311...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015004.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7936053 | Other : 0.20639467
Real values 312...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015007.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7946223 | Other : 0.2053777
Real values 313...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015002.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7939347 | Other : 0.20606534
Real values 314...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015003.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79363006 | Other : 0.20636998
Real values 315...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015008.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7955115 | Other : 0.20448849
Real values 316...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015013.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.8269927 | Other : 0.1730073
Real values 317...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015011.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7940022 | Other : 0.20599791
Real values 318...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015009.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79445285 | Other : 0.20554721
Real values 319...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015019.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.8034641 | Other : 0.19653587
Real values 320...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015020.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79416776 | Other : 0.20583224
Real values 321...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015018.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.78912055 | Other : 0.21087949
Real values 322...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015016.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7952186 | Other : 0.20478146
Real values 323...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015015.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7941952 | Other : 0.2058048
Real values 324...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015030.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79457474 | Other : 0.2054252
Real values 325...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015034.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79696274 | Other : 0.20303732
Real values 326...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015031.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7931463 | Other : 0.20685375
Real values 327...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015021.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.80604595 | Other : 0.19395404
Real values 328...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015023.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7937534 | Other : 0.2062466
Real values 329...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015026.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7881541 | Other : 0.21184587
Real values 330...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015035.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7663101 | Other : 0.23369001
Real values 331...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015041.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79549575 | Other : 0.20450422
Real values 332...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015037.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79420656 | Other : 0.20579349
Real values 333...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015040.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79569936 | Other : 0.20430064
Real values 334...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015060.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7953614 | Other : 0.20463869
Real values 335...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015046.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79374546 | Other : 0.20625457
Real values 336...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015056.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7955908 | Other : 0.20440921
Real values 337...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015057.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79524803 | Other : 0.20475194
Real values 338...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015051.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7953965 | Other : 0.2046035
Real values 339...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015050.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.8285195 | Other : 0.17148054
Real values 340...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015089.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7931687 | Other : 0.20683128
Real values 341...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015078.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7845032 | Other : 0.21549678
Real values 342...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015102.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.795058 | Other : 0.20494203
Real values 343...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015064.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7788918 | Other : 0.22110826
Real values 344...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015115.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7947756 | Other : 0.20522444
Real values 345...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015118.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79379165 | Other : 0.2062084
Real values 346...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015071.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7930727 | Other : 0.2069273
Real values 347...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015129.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.78710115 | Other : 0.21289897
Real values 348...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015127.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7816312 | Other : 0.21836889
Real values 349...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015125.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7933502 | Other : 0.20664981
Real values 350...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015130.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79302424 | Other : 0.2069758
Real values 351...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015132.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.793898 | Other : 0.2061021
Real values 352...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015119.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7924123 | Other : 0.20758772
Real values 353...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015142.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79363793 | Other : 0.20636205
Real values 354...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015146.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79368466 | Other : 0.20631537
Real values 355...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015139.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7948556 | Other : 0.20514445
Real values 356...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015140.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7937939 | Other : 0.20620608
Real values 357...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015136.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79438514 | Other : 0.2056149
Real values 358...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015133.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7934507 | Other : 0.20654935
Real values 359...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015156.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7838382 | Other : 0.21616182
Real values 360...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015150.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7941723 | Other : 0.20582774
Real values 361...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015160.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79850125 | Other : 0.20149873
Real values 362...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015157.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7953528 | Other : 0.20464723
Real values 363...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015149.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.794157 | Other : 0.20584297
Real values 364...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015152.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79311466 | Other : 0.20688532
Real values 365...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015155.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79244536 | Other : 0.20755467
Real values 366...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015175.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7949053 | Other : 0.20509478
Real values 367...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015167.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7939985 | Other : 0.20600149
Real values 368...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015163.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.795525 | Other : 0.20447499
Real values 369...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015174.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7950814 | Other : 0.20491865
Real values 370...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015173.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79425466 | Other : 0.20574537
Real values 371...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015161.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7945368 | Other : 0.20546323
Real values 372...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015171.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.81901455 | Other : 0.18098548
Real values 373...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015176.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79429454 | Other : 0.20570546
Real values 374...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015185.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7900984 | Other : 0.20990157
Real values 375...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015193.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7938697 | Other : 0.20613031
Real values 376...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015184.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7954709 | Other : 0.20452914
Real values 377...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015179.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7952074 | Other : 0.20479262
Real values 378...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015180.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.8259684 | Other : 0.17403167
Real values 379...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015208.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7941901 | Other : 0.20580992
Real values 380...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015212.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7965085 | Other : 0.20349154
Real values 381...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015206.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79568005 | Other : 0.20431992
Real values 382...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015203.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7941961 | Other : 0.20580396
Real values 383...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015207.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7943274 | Other : 0.20567262
Real values 384...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015201.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7943103 | Other : 0.20568977
Real values 385...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015202.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7930114 | Other : 0.20698854
Real values 386...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015224.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79351014 | Other : 0.20648989
Real values 387...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015217.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.78872025 | Other : 0.21127984
Real values 388...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015223.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7613653 | Other : 0.2386348
Real values 389...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015218.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7967007 | Other : 0.20329928
Real values 390...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015226.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7970519 | Other : 0.20294814
Real values 391...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015216.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7944934 | Other : 0.20550661
Real values 392...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015215.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7943234 | Other : 0.20567665
Real values 393...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015244.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7958375 | Other : 0.20416252
Real values 394...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015229.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.795937 | Other : 0.204063
Real values 395...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015245.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.83000183 | Other : 0.16999814
Real values 396...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015232.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7965808 | Other : 0.20341915
Real values 397...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015237.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7940438 | Other : 0.2059562
Real values 398...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015241.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7935314 | Other : 0.20646863
Real values 399...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015254.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79348314 | Other : 0.20651698
Real values 400...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015251.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7947077 | Other : 0.20529228
Real values 401...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015255.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79545164 | Other : 0.20454834
Real values 402...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015250.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.793636 | Other : 0.20636395
Real values 403...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015258.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7935729 | Other : 0.20642713
Real values 404...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015264.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7963285 | Other : 0.20367154
Real values 405...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015283.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7944557 | Other : 0.20554432
Real values 406...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015270.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.78697 | Other : 0.21303003
Real values 407...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015274.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.80416095 | Other : 0.19583917
Real values 408...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015279.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7969741 | Other : 0.2030259
Real values 409...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015276.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7977532 | Other : 0.20224679
Real values 410...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015291.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79514694 | Other : 0.20485306
Real values 411...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015273.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7525853 | Other : 0.24741481
Real values 412...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015293.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.76478994 | Other : 0.23521003
Real values 413...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015311.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79427576 | Other : 0.20572427
Real values 414...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015310.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.78345585 | Other : 0.21654412
Real values 415...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015298.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7955586 | Other : 0.20444143
Real values 416...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015309.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.82114947 | Other : 0.17885059
Real values 417...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015312.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7937803 | Other : 0.20621967
Real values 418...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015357.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7731613 | Other : 0.22683875
Real values 419...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015353.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79494995 | Other : 0.20505008
Real values 420...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015331.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7974073 | Other : 0.20259272
Real values 421...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015347.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79416674 | Other : 0.20583324
Real values 422...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015330.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79539204 | Other : 0.20460796
Real values 423...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015355.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7936691 | Other : 0.20633094
Real values 424...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015369.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.8078474 | Other : 0.19215266
Real values 425...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015368.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79251957 | Other : 0.20748049
Real values 426...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015383.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7959937 | Other : 0.2040064
Real values 427...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015386.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7931198 | Other : 0.2068803
Real values 428...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015363.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.77308625 | Other : 0.22691385
Real values 429...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015364.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7935097 | Other : 0.20649025
Real values 430...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015360.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.792863 | Other : 0.20713703
Real values 431...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015403.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7941704 | Other : 0.20582956
Real values 432...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015395.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7933511 | Other : 0.20664889
Real values 433...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015412.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79311347 | Other : 0.2068865
Real values 434...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015411.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7616414 | Other : 0.23835866
Real values 435...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015390.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7946279 | Other : 0.20537207
Real values 436...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015404.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7946763 | Other : 0.20532373
Real values 437...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015416.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7860457 | Other : 0.21395437
Real values 438...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015419.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7837212 | Other : 0.21627879
Real values 439...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015436.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7970831 | Other : 0.20291698
Real values 440...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015418.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7935292 | Other : 0.20647079
Real values 441...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015440.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7955595 | Other : 0.20444047
Real values 442...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015417.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79734534 | Other : 0.20265464
Real values 443...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015447.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.8300178 | Other : 0.16998222
Real values 444...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015481.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7947943 | Other : 0.20520568
Real values 445...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015464.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79174507 | Other : 0.20825498
Real values 446...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015468.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.76002026 | Other : 0.23997971
Real values 447...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015455.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79127944 | Other : 0.20872061
Real values 448...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015476.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79305077 | Other : 0.20694926
Real values 449...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015466.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79438066 | Other : 0.20561934
Real values 450...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015482.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7951614 | Other : 0.2048386
Real values 451...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015544.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79526365 | Other : 0.20473644
Real values 452...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015510.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7979859 | Other : 0.20201413
Real values 453...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015563.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.78266084 | Other : 0.2173392
Real values 454...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015526.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79797244 | Other : 0.20202756
Real values 455...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015485.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79445875 | Other : 0.20554137
Real values 456...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015537.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79491127 | Other : 0.2050888
Real values 457...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015559.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7938006 | Other : 0.2061994
Real values 458...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015603.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7835495 | Other : 0.21645056
Real values 459...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015568.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7944576 | Other : 0.20554242
Real values 460...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015566.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7937789 | Other : 0.20622104
Real values 461...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015614.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79350203 | Other : 0.20649801
Real values 462...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015593.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79317284 | Other : 0.20682716
Real values 463...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015582.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7937233 | Other : 0.20627674
Real values 464...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015607.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7941545 | Other : 0.20584558
Real values 465...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015636.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7917743 | Other : 0.20822579
Real values 466...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015625.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79495275 | Other : 0.20504731
Real values 467...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015617.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7941887 | Other : 0.2058113
Real values 468...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015645.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7957759 | Other : 0.20422408
Real values 469...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015638.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7836046 | Other : 0.21639536
Real values 470...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015641.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79352283 | Other : 0.20647717
Real values 471...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015631.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7947418 | Other : 0.20525818
Real values 472...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015939.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7937217 | Other : 0.20627831
Real values 473...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015938.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7937197 | Other : 0.20628029
Real values 474...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015936.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7958764 | Other : 0.20412356
Real values 475...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015941.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7978045 | Other : 0.20219561
Real values 476...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015947.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7941868 | Other : 0.20581327
Real values 477...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015944.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.829762 | Other : 0.170238
Real values 478...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015943.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7946646 | Other : 0.20533542
Real values 479...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015940.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.77594376 | Other : 0.22405624
Real values 480...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015945.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79417837 | Other : 0.20582174
Real values 481...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015937.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.78348696 | Other : 0.21651308
Real values 482...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015942.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7932881 | Other : 0.20671189
Real values 483...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015946.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79397887 | Other : 0.20602116
Real values 484...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015956.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.794296 | Other : 0.20570397
Real values 485...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015950.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79400015 | Other : 0.20599982
Real values 486...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015955.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7933372 | Other : 0.20666282
Real values 487...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015949.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.82615113 | Other : 0.17384887
Real values 488...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015951.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79441875 | Other : 0.20558125
Real values 489...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015954.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7939123 | Other : 0.20608777
Real values 490...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015953.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79497546 | Other : 0.2050246
Real values 491...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015959.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79318607 | Other : 0.20681399
Real values 492...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015958.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.781921 | Other : 0.21807902
Real values 493...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015952.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.82993937 | Other : 0.17006068
Real values 494...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015960.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7331926 | Other : 0.2668074
Real values 495...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015948.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7967352 | Other : 0.20326477
Real values 496...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015957.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7829659 | Other : 0.2170341
Real values 497...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015962.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79336613 | Other : 0.2066339
Real values 498...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015965.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7932055 | Other : 0.20679449
Real values 499...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015961.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7932036 | Other : 0.20679641
Real values 500...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015972.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7934593 | Other : 0.20654067
Real values 501...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015963.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.828067 | Other : 0.171933
Real values 502...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015968.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.82926387 | Other : 0.17073612
Real values 503...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015969.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79331374 | Other : 0.20668623
Real values 504...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015971.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79339856 | Other : 0.20660147
Real values 505...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015973.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7933957 | Other : 0.20660439
Real values 506...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015964.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79393756 | Other : 0.20606248
Real values 507...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015966.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.76855433 | Other : 0.23144571
Real values 508...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015967.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.793307 | Other : 0.20669296
Real values 509...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015986.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7651068 | Other : 0.23489329
Real values 510...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015981.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7931552 | Other : 0.20684478
Real values 511...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015982.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79322404 | Other : 0.20677605
Real values 512...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015980.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79329574 | Other : 0.2067043
Real values 513...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015974.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7939824 | Other : 0.20601758
Real values 514...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015985.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7935111 | Other : 0.2064889
Real values 515...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015976.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7932128 | Other : 0.20678735
Real values 516...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015979.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7839234 | Other : 0.21607666
Real values 517...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015978.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7944605 | Other : 0.20553963
Real values 518...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015987.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7542176 | Other : 0.24578238
Real values 519...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015975.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79333586 | Other : 0.20666417
Real values 520...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015984.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79307574 | Other : 0.20692426
Real values 521...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015983.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7931751 | Other : 0.2068249
Real values 522...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015998.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.8299197 | Other : 0.1700803
Real values 523...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015988.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79348105 | Other : 0.20651895
Real values 524...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015992.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79336786 | Other : 0.20663218
Real values 525...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015991.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79337597 | Other : 0.20662403
Real values 526...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015993.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7934007 | Other : 0.2065993
Real values 527...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015995.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7940971 | Other : 0.20590286
Real values 528...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015990.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79393667 | Other : 0.20606336
Real values 529...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015997.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7936987 | Other : 0.20630127
Real values 530...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015994.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79337406 | Other : 0.20662592
Real values 531...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015989.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79340196 | Other : 0.20659809
Real values 532...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015996.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7934715 | Other : 0.20652848
Real values 533...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016006.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79339826 | Other : 0.20660174
Real values 534...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016004.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79446304 | Other : 0.205537
Real values 535...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016002.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79423374 | Other : 0.20576625
Real values 536...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016003.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.8262579 | Other : 0.17374215
Real values 537...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016011.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7934946 | Other : 0.2065054
Real values 538...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016009.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7931694 | Other : 0.20683074
Real values 539...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016005.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79349035 | Other : 0.20650971
Real values 540...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016008.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79373306 | Other : 0.20626698
Real values 541...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016000.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7935585 | Other : 0.20644155
Real values 542...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015999.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.8299221 | Other : 0.1700779
Real values 543...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016007.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.829585 | Other : 0.17041498
Real values 544...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016001.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79018164 | Other : 0.20981836
Real values 545...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016015.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7929966 | Other : 0.20700347
Real values 546...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016019.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7663781 | Other : 0.23362193
Real values 547...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016022.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7956514 | Other : 0.20434862
Real values 548...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016014.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7934324 | Other : 0.20656759
Real values 549...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016012.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79740614 | Other : 0.2025939
Real values 550...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016016.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.8299048 | Other : 0.1700952
Real values 551...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016018.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.78080076 | Other : 0.21919927
Real values 552...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016024.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7933792 | Other : 0.2066208
Real values 553...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016017.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79348105 | Other : 0.20651898
Real values 554...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016023.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79349315 | Other : 0.20650685
Real values 555...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016013.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.76172304 | Other : 0.238277
Real values 556...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016030.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79351556 | Other : 0.20648448
Real values 557...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016033.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79383105 | Other : 0.206169
Real values 558...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016034.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7932434 | Other : 0.20675665
Real values 559...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016025.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7940551 | Other : 0.20594494
Real values 560...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016028.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7934293 | Other : 0.20657073
Real values 561...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016027.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7970358 | Other : 0.20296419
Real values 562...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016026.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7855803 | Other : 0.21441978
Real values 563...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016029.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79323673 | Other : 0.20676327
Real values 564...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016031.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79337925 | Other : 0.20662078
Real values 565...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016035.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79346013 | Other : 0.20653991
Real values 566...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016041.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79360694 | Other : 0.20639306
Real values 567...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016038.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79495156 | Other : 0.20504853
Real values 568...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016036.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79413575 | Other : 0.20586431
Real values 569...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016043.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79413295 | Other : 0.20586708
Real values 570...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016046.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79563546 | Other : 0.20436451
Real values 571...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016037.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7932639 | Other : 0.20673607
Real values 572...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016045.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7936666 | Other : 0.2063334
Real values 573...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016044.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7935211 | Other : 0.20647883
Real values 574...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016040.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7939238 | Other : 0.2060762
Real values 575...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016042.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7939572 | Other : 0.20604286
Real values 576...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016048.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.793271 | Other : 0.20672902
Real values 577...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016059.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79349273 | Other : 0.20650731
Real values 578...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016054.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79488605 | Other : 0.205114
Real values 579...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016057.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79343176 | Other : 0.20656824
Real values 580...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016052.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79344845 | Other : 0.20655155
Real values 581...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016055.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79304314 | Other : 0.20695683
Real values 582...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016058.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.82938087 | Other : 0.17061916
Real values 583...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016051.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79362816 | Other : 0.20637183
Real values 584...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016049.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7935053 | Other : 0.20649473
Real values 585...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016053.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.8296317 | Other : 0.17036836
Real values 586...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016050.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79450834 | Other : 0.20549177
Real values 587...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016056.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.8299227 | Other : 0.1700773
Real values 588...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016070.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.8112363 | Other : 0.18876366
Real values 589...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016063.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7933425 | Other : 0.20665757
Real values 590...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016065.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.8296509 | Other : 0.17034912
Real values 591...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016062.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79405427 | Other : 0.20594577
Real values 592...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016069.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7938602 | Other : 0.20613983
Real values 593...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016072.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7957462 | Other : 0.20425388
Real values 594...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016064.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.8297572 | Other : 0.17024282
Real values 595...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016060.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7943186 | Other : 0.20568141
Real values 596...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016061.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7940931 | Other : 0.20590699
Real values 597...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016071.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79381955 | Other : 0.20618056
Real values 598...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016068.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7944211 | Other : 0.20557897
Real values 599...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016066.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.82977194 | Other : 0.17022806
Real values 600...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
print("Accuracy = %2.2f%%" % (np.mean(correct_Ensemble_Test)*100))
Accuracy = 80.50%
image_to_predict_Ensemble_Test = path_to_tensor("/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Output_melanoma/ISIC_0000000_180_angle_flipped.jpg").astype('float32')/255.
ensemble_model.predict(image_to_predict_Ensemble_Test)
array([[0.7931409 , 0.20685914]], dtype=float32)
# Compute test set predictions
NUMBER_TEST_SAMPLES_Ensemble_Test = 600
all_weights_combined_as_list = weights_of_MobileNet_Inception_and_Xception
y_true_Ensemble_Test = test_targets[:NUMBER_TEST_SAMPLES_Ensemble_Test]
y_score_Ensemble_Test = []
for index in range(NUMBER_TEST_SAMPLES_Ensemble_Test): #compute one at a time due to memory constraints
probs_Ensemble_Test = predict(img_path = test_files[index], model_architecture = ensemble_model, path_model_weight = "/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5")
print("Real values {}...".format(index+1) + "Melanoma : ", test_targets[index][0], " | Other : ", test_targets[index][1])
print("---------------------------------------------------------------------------")
y_score_Ensemble_Test.append(probs_Ensemble_Test)
correct_Ensemble_Test = np.array(y_true_Ensemble_Test) == np.array(y_score_Ensemble_Test)
Streaming output truncated to the last 5000 lines.
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013414.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7946235 | Other : 0.20537655
Real values 101...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013325.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7942421 | Other : 0.2057579
Real values 102...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013457.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.76050615 | Other : 0.23949385
Real values 103...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013321.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7908087 | Other : 0.20919132
Real values 104...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013455.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79335105 | Other : 0.20664898
Real values 105...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013374.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7714226 | Other : 0.22857738
Real values 106...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013411.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.8122859 | Other : 0.1877141
Real values 107...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013465.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7842564 | Other : 0.21574366
Real values 108...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013678.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.82117003 | Other : 0.17882994
Real values 109...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013696.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7993757 | Other : 0.20062433
Real values 110...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013511.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.8295554 | Other : 0.17044467
Real values 111...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013615.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.75424147 | Other : 0.24575858
Real values 112...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013588.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7952156 | Other : 0.2047844
Real values 113...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013617.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7921771 | Other : 0.20782289
Real values 114...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013529.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.8297748 | Other : 0.17022519
Real values 115...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013577.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79346156 | Other : 0.20653847
Real values 116...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013636.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79398465 | Other : 0.20601532
Real values 117...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013602.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.796272 | Other : 0.20372805
Real values 118...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013673.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7934686 | Other : 0.20653145
Real values 119...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013512.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.82971716 | Other : 0.17028284
Real values 120...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013600.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.80081296 | Other : 0.19918703
Real values 121...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013565.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79366493 | Other : 0.20633501
Real values 122...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013813.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.82970345 | Other : 0.17029658
Real values 123...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013733.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79359424 | Other : 0.20640576
Real values 124...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013766.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7934558 | Other : 0.20654425
Real values 125...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013764.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7884182 | Other : 0.21158187
Real values 126...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013767.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7931811 | Other : 0.20681891
Real values 127...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013739.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.74737215 | Other : 0.25262782
Real values 128...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013794.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.75150096 | Other : 0.24849908
Real values 129...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013708.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79884696 | Other : 0.20115301
Real values 130...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013833.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7904147 | Other : 0.20958535
Real values 131...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013738.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.829765 | Other : 0.17023496
Real values 132...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013814.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7818512 | Other : 0.21814883
Real values 133...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013809.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.794105 | Other : 0.20589499
Real values 134...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013842.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7919416 | Other : 0.20805845
Real values 135...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013867.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7938804 | Other : 0.2061196
Real values 136...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013908.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79575765 | Other : 0.20424235
Real values 137...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013897.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7941587 | Other : 0.20584124
Real values 138...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013911.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7947595 | Other : 0.20524049
Real values 139...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013977.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7932331 | Other : 0.20676689
Real values 140...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013917.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79405665 | Other : 0.20594332
Real values 141...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013987.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79447293 | Other : 0.2055271
Real values 142...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013988.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7939609 | Other : 0.2060391
Real values 143...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013966.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.82963467 | Other : 0.17036533
Real values 144...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013953.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.797457 | Other : 0.20254302
Real values 145...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013948.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7932675 | Other : 0.20673251
Real values 146...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013891.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79558945 | Other : 0.20441055
Real values 147...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013998.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.82963395 | Other : 0.17036602
Real values 148...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0013925.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79326814 | Other : 0.20673186
Real values 149...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014103.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7934345 | Other : 0.20656554
Real values 150...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014006.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.8035139 | Other : 0.19648616
Real values 151...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014177.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.78758943 | Other : 0.21241067
Real values 152...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014148.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7950778 | Other : 0.20492224
Real values 153...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014129.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.8166069 | Other : 0.18339317
Real values 154...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014160.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7952621 | Other : 0.20473787
Real values 155...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014117.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79467046 | Other : 0.20532954
Real values 156...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014090.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79414845 | Other : 0.20585155
Real values 157...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014186.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7936207 | Other : 0.20637934
Real values 158...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014110.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7934456 | Other : 0.20655444
Real values 159...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014181.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7934457 | Other : 0.20655434
Real values 160...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014077.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79326534 | Other : 0.2067347
Real values 161...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014027.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.8295125 | Other : 0.17048757
Real values 162...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014059.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79330635 | Other : 0.2066937
Real values 163...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014336.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.8297523 | Other : 0.17024772
Real values 164...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014319.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79405415 | Other : 0.2059459
Real values 165...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014255.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7930326 | Other : 0.20696744
Real values 166...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014270.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7933788 | Other : 0.20662127
Real values 167...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014369.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7943346 | Other : 0.20566541
Real values 168...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014349.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79435414 | Other : 0.2056458
Real values 169...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014251.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7942679 | Other : 0.20573208
Real values 170...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014221.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7940301 | Other : 0.20597002
Real values 171...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014278.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79340833 | Other : 0.2065917
Real values 172...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014288.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79331154 | Other : 0.20668845
Real values 173...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014233.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7938308 | Other : 0.20616925
Real values 174...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014219.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7933483 | Other : 0.20665169
Real values 175...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014284.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7937374 | Other : 0.20626251
Real values 176...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014386.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7838197 | Other : 0.21618032
Real values 177...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014423.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7935466 | Other : 0.20645338
Real values 178...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014470.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7532419 | Other : 0.24675816
Real values 179...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014489.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.8091402 | Other : 0.19085972
Real values 180...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014392.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7959393 | Other : 0.20406067
Real values 181...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014503.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79318714 | Other : 0.20681286
Real values 182...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014500.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7938156 | Other : 0.20618437
Real values 183...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014419.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7943441 | Other : 0.20565587
Real values 184...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014454.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.817415 | Other : 0.18258505
Real values 185...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014457.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7934859 | Other : 0.20651412
Real values 186...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014434.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.82920384 | Other : 0.17079616
Real values 187...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014474.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7932409 | Other : 0.20675907
Real values 188...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014506.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79401076 | Other : 0.20598924
Real values 189...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014478.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7943152 | Other : 0.20568483
Real values 190...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014409.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.82966566 | Other : 0.17033432
Real values 191...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014567.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.77977055 | Other : 0.22022939
Real values 192...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014574.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.78214455 | Other : 0.21785545
Real values 193...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014541.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.81935966 | Other : 0.18064037
Real values 194...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014513.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7947444 | Other : 0.20525567
Real values 195...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014600.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7988113 | Other : 0.20118873
Real values 196...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014586.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7962114 | Other : 0.20378856
Real values 197...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014587.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7779798 | Other : 0.22202021
Real values 198...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014542.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79642105 | Other : 0.203579
Real values 199...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014588.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7571665 | Other : 0.24283355
Real values 200...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014559.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7936756 | Other : 0.20632446
Real values 201...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014619.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.76598525 | Other : 0.23401475
Real values 202...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014575.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79602635 | Other : 0.20397371
Real values 203...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014546.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.8202397 | Other : 0.17976026
Real values 204...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014548.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79208744 | Other : 0.20791261
Real values 205...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014590.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7658404 | Other : 0.23415962
Real values 206...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014634.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7893903 | Other : 0.21060967
Real values 207...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014644.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7951991 | Other : 0.20480093
Real values 208...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014647.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7972905 | Other : 0.20270959
Real values 209...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014643.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.78999114 | Other : 0.21000886
Real values 210...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014652.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79303634 | Other : 0.2069637
Real values 211...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014653.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.794115 | Other : 0.20588505
Real values 212...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014629.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7922127 | Other : 0.20778725
Real values 213...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014648.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7942172 | Other : 0.20578282
Real values 214...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014626.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7854566 | Other : 0.21454343
Real values 215...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014631.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.8076401 | Other : 0.19235997
Real values 216...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014627.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7956637 | Other : 0.20433637
Real values 217...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014649.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7984292 | Other : 0.20157084
Real values 218...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014645.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7757729 | Other : 0.22422716
Real values 219...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014675.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79747957 | Other : 0.20252052
Real values 220...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014666.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79522777 | Other : 0.20477223
Real values 221...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014663.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7962944 | Other : 0.2037056
Real values 222...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014687.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7956588 | Other : 0.20434126
Real values 223...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014677.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7870342 | Other : 0.21296583
Real values 224...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014698.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7936491 | Other : 0.20635095
Real values 225...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014703.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.78212786 | Other : 0.21787219
Real values 226...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014697.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79466337 | Other : 0.20533666
Real values 227...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014695.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7817488 | Other : 0.21825123
Real values 228...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014693.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7932389 | Other : 0.2067611
Real values 229...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014740.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79393375 | Other : 0.2060663
Real values 230...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014725.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.795545 | Other : 0.20445506
Real values 231...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014720.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7944975 | Other : 0.20550254
Real values 232...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014729.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7816381 | Other : 0.21836194
Real values 233...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014743.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7947404 | Other : 0.2052596
Real values 234...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014727.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7935114 | Other : 0.20648867
Real values 235...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014728.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7935111 | Other : 0.20648903
Real values 236...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014746.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7944281 | Other : 0.20557192
Real values 237...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014749.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7935981 | Other : 0.20640187
Real values 238...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014766.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7953328 | Other : 0.20466726
Real values 239...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014768.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7945839 | Other : 0.20541617
Real values 240...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014765.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7967249 | Other : 0.20327513
Real values 241...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014753.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79410315 | Other : 0.20589688
Real values 242...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014755.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79378545 | Other : 0.20621464
Real values 243...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014790.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7944827 | Other : 0.20551726
Real values 244...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014772.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79574203 | Other : 0.20425794
Real values 245...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014786.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79426086 | Other : 0.20573923
Real values 246...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014784.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79454535 | Other : 0.20545469
Real values 247...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014773.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79368323 | Other : 0.20631675
Real values 248...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014780.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79587543 | Other : 0.20412461
Real values 249...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014787.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79387 | Other : 0.20613003
Real values 250...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014814.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7947744 | Other : 0.20522568
Real values 251...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014800.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7964783 | Other : 0.2035217
Real values 252...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014796.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7941548 | Other : 0.20584527
Real values 253...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014798.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7934116 | Other : 0.20658842
Real values 254...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014807.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79493856 | Other : 0.20506136
Real values 255...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014792.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7936933 | Other : 0.20630674
Real values 256...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014826.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79308766 | Other : 0.20691234
Real values 257...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014815.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7875676 | Other : 0.21243235
Real values 258...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014835.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7942846 | Other : 0.20571542
Real values 259...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014844.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79449975 | Other : 0.20550027
Real values 260...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014820.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7956897 | Other : 0.20431034
Real values 261...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014833.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.789164 | Other : 0.21083602
Real values 262...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014822.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7941426 | Other : 0.2058575
Real values 263...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014862.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7949287 | Other : 0.20507133
Real values 264...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014867.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7804546 | Other : 0.21954548
Real values 265...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014853.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7936051 | Other : 0.20639491
Real values 266...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014868.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7938654 | Other : 0.20613466
Real values 267...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014854.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79339784 | Other : 0.20660216
Real values 268...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014863.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7951409 | Other : 0.20485911
Real values 269...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014879.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79614806 | Other : 0.20385198
Real values 270...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014876.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79356307 | Other : 0.20643693
Real values 271...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014907.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79388714 | Other : 0.20611286
Real values 272...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014901.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7941761 | Other : 0.20582394
Real values 273...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014883.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.793044 | Other : 0.20695603
Real values 274...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014872.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7814399 | Other : 0.21856014
Real values 275...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014921.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7946496 | Other : 0.20535037
Real values 276...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014928.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7667006 | Other : 0.23329942
Real values 277...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014932.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7906282 | Other : 0.20937178
Real values 278...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014927.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7934238 | Other : 0.20657627
Real values 279...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014912.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.794332 | Other : 0.20566797
Real values 280...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014910.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7942276 | Other : 0.2057724
Real values 281...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014941.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79297984 | Other : 0.20702025
Real values 282...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014943.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79707164 | Other : 0.20292842
Real values 283...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014938.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7941567 | Other : 0.20584333
Real values 284...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014936.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79390085 | Other : 0.20609918
Real values 285...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014942.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.78428835 | Other : 0.21571164
Real values 286...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014940.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7911601 | Other : 0.2088399
Real values 287...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014949.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79423493 | Other : 0.20576505
Real values 288...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014947.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.793249 | Other : 0.20675103
Real values 289...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014948.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7945336 | Other : 0.20546643
Real values 290...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014952.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7932191 | Other : 0.20678088
Real values 291...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014944.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.795144 | Other : 0.20485604
Real values 292...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014956.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7936505 | Other : 0.20634955
Real values 293...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014955.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7802357 | Other : 0.21976434
Real values 294...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014957.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7948866 | Other : 0.2051134
Real values 295...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014959.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7810275 | Other : 0.21897253
Real values 296...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014961.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79522717 | Other : 0.20477287
Real values 297...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014958.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7931323 | Other : 0.20686772
Real values 298...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014964.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79375124 | Other : 0.20624876
Real values 299...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014962.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7933385 | Other : 0.20666158
Real values 300...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014966.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7941682 | Other : 0.20583181
Real values 301...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014969.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79317874 | Other : 0.20682123
Real values 302...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014963.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7935853 | Other : 0.20641473
Real values 303...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014968.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79392433 | Other : 0.20607567
Real values 304...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014974.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79481924 | Other : 0.20518081
Real values 305...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014982.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79022044 | Other : 0.20977962
Real values 306...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014973.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.793409 | Other : 0.20659101
Real values 307...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014977.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7958328 | Other : 0.20416719
Real values 308...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014994.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7950212 | Other : 0.20497887
Real values 309...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014992.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.794927 | Other : 0.20507306
Real values 310...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0014998.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79394746 | Other : 0.20605253
Real values 311...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015004.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7936053 | Other : 0.20639467
Real values 312...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015007.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7946223 | Other : 0.2053777
Real values 313...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015002.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7939347 | Other : 0.20606534
Real values 314...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015003.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79363006 | Other : 0.20636998
Real values 315...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015008.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7955115 | Other : 0.20448849
Real values 316...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015013.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.8269927 | Other : 0.1730073
Real values 317...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015011.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7940022 | Other : 0.20599791
Real values 318...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015009.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79445285 | Other : 0.20554721
Real values 319...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015019.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.8034641 | Other : 0.19653587
Real values 320...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015020.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79416776 | Other : 0.20583224
Real values 321...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015018.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.78912055 | Other : 0.21087949
Real values 322...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015016.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7952186 | Other : 0.20478146
Real values 323...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015015.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7941952 | Other : 0.2058048
Real values 324...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015030.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79457474 | Other : 0.2054252
Real values 325...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015034.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79696274 | Other : 0.20303732
Real values 326...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015031.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7931463 | Other : 0.20685375
Real values 327...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015021.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.80604595 | Other : 0.19395404
Real values 328...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015023.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7937534 | Other : 0.2062466
Real values 329...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015026.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7881541 | Other : 0.21184587
Real values 330...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015035.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7663101 | Other : 0.23369001
Real values 331...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015041.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79549575 | Other : 0.20450422
Real values 332...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015037.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79420656 | Other : 0.20579349
Real values 333...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015040.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79569936 | Other : 0.20430064
Real values 334...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015060.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7953614 | Other : 0.20463869
Real values 335...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015046.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79374546 | Other : 0.20625457
Real values 336...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015056.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7955908 | Other : 0.20440921
Real values 337...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015057.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79524803 | Other : 0.20475194
Real values 338...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015051.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7953965 | Other : 0.2046035
Real values 339...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015050.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.8285195 | Other : 0.17148054
Real values 340...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015089.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7931687 | Other : 0.20683128
Real values 341...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015078.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7845032 | Other : 0.21549678
Real values 342...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015102.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.795058 | Other : 0.20494203
Real values 343...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015064.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7788918 | Other : 0.22110826
Real values 344...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015115.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7947756 | Other : 0.20522444
Real values 345...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015118.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79379165 | Other : 0.2062084
Real values 346...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015071.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7930727 | Other : 0.2069273
Real values 347...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015129.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.78710115 | Other : 0.21289897
Real values 348...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015127.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7816312 | Other : 0.21836889
Real values 349...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015125.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7933502 | Other : 0.20664981
Real values 350...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015130.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79302424 | Other : 0.2069758
Real values 351...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015132.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.793898 | Other : 0.2061021
Real values 352...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015119.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7924123 | Other : 0.20758772
Real values 353...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015142.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79363793 | Other : 0.20636205
Real values 354...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015146.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79368466 | Other : 0.20631537
Real values 355...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015139.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7948556 | Other : 0.20514445
Real values 356...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015140.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7937939 | Other : 0.20620608
Real values 357...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015136.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79438514 | Other : 0.2056149
Real values 358...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015133.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7934507 | Other : 0.20654935
Real values 359...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015156.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7838382 | Other : 0.21616182
Real values 360...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015150.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7941723 | Other : 0.20582774
Real values 361...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015160.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79850125 | Other : 0.20149873
Real values 362...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015157.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7953528 | Other : 0.20464723
Real values 363...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015149.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.794157 | Other : 0.20584297
Real values 364...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015152.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79311466 | Other : 0.20688532
Real values 365...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015155.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79244536 | Other : 0.20755467
Real values 366...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015175.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7949053 | Other : 0.20509478
Real values 367...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015167.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7939985 | Other : 0.20600149
Real values 368...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015163.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.795525 | Other : 0.20447499
Real values 369...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015174.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7950814 | Other : 0.20491865
Real values 370...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015173.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79425466 | Other : 0.20574537
Real values 371...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015161.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7945368 | Other : 0.20546323
Real values 372...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015171.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.81901455 | Other : 0.18098548
Real values 373...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015176.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79429454 | Other : 0.20570546
Real values 374...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015185.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7900984 | Other : 0.20990157
Real values 375...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015193.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7938697 | Other : 0.20613031
Real values 376...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015184.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7954709 | Other : 0.20452914
Real values 377...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015179.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7952074 | Other : 0.20479262
Real values 378...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015180.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.8259684 | Other : 0.17403167
Real values 379...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015208.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7941901 | Other : 0.20580992
Real values 380...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015212.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7965085 | Other : 0.20349154
Real values 381...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015206.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79568005 | Other : 0.20431992
Real values 382...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015203.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7941961 | Other : 0.20580396
Real values 383...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015207.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7943274 | Other : 0.20567262
Real values 384...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015201.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7943103 | Other : 0.20568977
Real values 385...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015202.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7930114 | Other : 0.20698854
Real values 386...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015224.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79351014 | Other : 0.20648989
Real values 387...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015217.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.78872025 | Other : 0.21127984
Real values 388...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015223.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7613653 | Other : 0.2386348
Real values 389...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015218.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7967007 | Other : 0.20329928
Real values 390...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015226.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7970519 | Other : 0.20294814
Real values 391...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015216.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7944934 | Other : 0.20550661
Real values 392...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015215.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7943234 | Other : 0.20567665
Real values 393...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015244.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7958375 | Other : 0.20416252
Real values 394...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015229.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.795937 | Other : 0.204063
Real values 395...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015245.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.83000183 | Other : 0.16999814
Real values 396...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015232.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7965808 | Other : 0.20341915
Real values 397...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015237.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7940438 | Other : 0.2059562
Real values 398...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015241.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7935314 | Other : 0.20646863
Real values 399...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015254.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79348314 | Other : 0.20651698
Real values 400...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015251.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7947077 | Other : 0.20529228
Real values 401...Melanoma : 0.0 | Other : 1.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015255.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79545164 | Other : 0.20454834
Real values 402...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015250.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.793636 | Other : 0.20636395
Real values 403...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015258.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7935729 | Other : 0.20642713
Real values 404...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015264.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7963285 | Other : 0.20367154
Real values 405...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015283.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7944557 | Other : 0.20554432
Real values 406...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015270.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.78697 | Other : 0.21303003
Real values 407...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015274.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.80416095 | Other : 0.19583917
Real values 408...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015279.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7969741 | Other : 0.2030259
Real values 409...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015276.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7977532 | Other : 0.20224679
Real values 410...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015291.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79514694 | Other : 0.20485306
Real values 411...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015273.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7525853 | Other : 0.24741481
Real values 412...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015293.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.76478994 | Other : 0.23521003
Real values 413...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015311.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79427576 | Other : 0.20572427
Real values 414...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015310.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.78345585 | Other : 0.21654412
Real values 415...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015298.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7955586 | Other : 0.20444143
Real values 416...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015309.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.82114947 | Other : 0.17885059
Real values 417...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015312.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7937803 | Other : 0.20621967
Real values 418...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015357.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7731613 | Other : 0.22683875
Real values 419...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015353.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79494995 | Other : 0.20505008
Real values 420...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015331.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7974073 | Other : 0.20259272
Real values 421...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015347.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79416674 | Other : 0.20583324
Real values 422...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015330.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79539204 | Other : 0.20460796
Real values 423...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015355.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7936691 | Other : 0.20633094
Real values 424...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015369.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.8078474 | Other : 0.19215266
Real values 425...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015368.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79251957 | Other : 0.20748049
Real values 426...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015383.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7959937 | Other : 0.2040064
Real values 427...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015386.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7931198 | Other : 0.2068803
Real values 428...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015363.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.77308625 | Other : 0.22691385
Real values 429...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015364.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7935097 | Other : 0.20649025
Real values 430...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015360.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.792863 | Other : 0.20713703
Real values 431...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015403.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7941704 | Other : 0.20582956
Real values 432...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015395.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7933511 | Other : 0.20664889
Real values 433...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015412.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79311347 | Other : 0.2068865
Real values 434...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015411.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7616414 | Other : 0.23835866
Real values 435...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015390.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7946279 | Other : 0.20537207
Real values 436...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015404.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7946763 | Other : 0.20532373
Real values 437...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015416.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7860457 | Other : 0.21395437
Real values 438...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015419.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7837212 | Other : 0.21627879
Real values 439...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015436.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7970831 | Other : 0.20291698
Real values 440...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015418.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7935292 | Other : 0.20647079
Real values 441...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015440.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7955595 | Other : 0.20444047
Real values 442...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015417.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79734534 | Other : 0.20265464
Real values 443...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015447.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.8300178 | Other : 0.16998222
Real values 444...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015481.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7947943 | Other : 0.20520568
Real values 445...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015464.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79174507 | Other : 0.20825498
Real values 446...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015468.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.76002026 | Other : 0.23997971
Real values 447...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015455.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79127944 | Other : 0.20872061
Real values 448...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015476.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79305077 | Other : 0.20694926
Real values 449...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015466.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79438066 | Other : 0.20561934
Real values 450...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015482.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7951614 | Other : 0.2048386
Real values 451...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015544.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79526365 | Other : 0.20473644
Real values 452...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015510.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7979859 | Other : 0.20201413
Real values 453...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015563.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.78266084 | Other : 0.2173392
Real values 454...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015526.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79797244 | Other : 0.20202756
Real values 455...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015485.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79445875 | Other : 0.20554137
Real values 456...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015537.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79491127 | Other : 0.2050888
Real values 457...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015559.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7938006 | Other : 0.2061994
Real values 458...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015603.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7835495 | Other : 0.21645056
Real values 459...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015568.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7944576 | Other : 0.20554242
Real values 460...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015566.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7937789 | Other : 0.20622104
Real values 461...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015614.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79350203 | Other : 0.20649801
Real values 462...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015593.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79317284 | Other : 0.20682716
Real values 463...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015582.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7937233 | Other : 0.20627674
Real values 464...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015607.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7941545 | Other : 0.20584558
Real values 465...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015636.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7917743 | Other : 0.20822579
Real values 466...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015625.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79495275 | Other : 0.20504731
Real values 467...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015617.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7941887 | Other : 0.2058113
Real values 468...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015645.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7957759 | Other : 0.20422408
Real values 469...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015638.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7836046 | Other : 0.21639536
Real values 470...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015641.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79352283 | Other : 0.20647717
Real values 471...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015631.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7947418 | Other : 0.20525818
Real values 472...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015939.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7937217 | Other : 0.20627831
Real values 473...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015938.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7937197 | Other : 0.20628029
Real values 474...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015936.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7958764 | Other : 0.20412356
Real values 475...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015941.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7978045 | Other : 0.20219561
Real values 476...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015947.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7941868 | Other : 0.20581327
Real values 477...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015944.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.829762 | Other : 0.170238
Real values 478...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015943.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7946646 | Other : 0.20533542
Real values 479...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015940.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.77594376 | Other : 0.22405624
Real values 480...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015945.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79417837 | Other : 0.20582174
Real values 481...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015937.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.78348696 | Other : 0.21651308
Real values 482...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015942.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7932881 | Other : 0.20671189
Real values 483...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015946.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79397887 | Other : 0.20602116
Real values 484...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015956.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.794296 | Other : 0.20570397
Real values 485...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015950.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79400015 | Other : 0.20599982
Real values 486...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015955.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7933372 | Other : 0.20666282
Real values 487...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015949.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.82615113 | Other : 0.17384887
Real values 488...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015951.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79441875 | Other : 0.20558125
Real values 489...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015954.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7939123 | Other : 0.20608777
Real values 490...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015953.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79497546 | Other : 0.2050246
Real values 491...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015959.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79318607 | Other : 0.20681399
Real values 492...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015958.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.781921 | Other : 0.21807902
Real values 493...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015952.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.82993937 | Other : 0.17006068
Real values 494...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015960.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7331926 | Other : 0.2668074
Real values 495...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015948.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7967352 | Other : 0.20326477
Real values 496...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015957.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7829659 | Other : 0.2170341
Real values 497...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015962.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79336613 | Other : 0.2066339
Real values 498...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015965.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7932055 | Other : 0.20679449
Real values 499...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015961.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7932036 | Other : 0.20679641
Real values 500...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015972.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7934593 | Other : 0.20654067
Real values 501...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015963.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.828067 | Other : 0.171933
Real values 502...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015968.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.82926387 | Other : 0.17073612
Real values 503...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015969.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79331374 | Other : 0.20668623
Real values 504...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015971.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79339856 | Other : 0.20660147
Real values 505...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015973.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7933957 | Other : 0.20660439
Real values 506...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015964.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79393756 | Other : 0.20606248
Real values 507...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015966.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.76855433 | Other : 0.23144571
Real values 508...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015967.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.793307 | Other : 0.20669296
Real values 509...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015986.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7651068 | Other : 0.23489329
Real values 510...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015981.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7931552 | Other : 0.20684478
Real values 511...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015982.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79322404 | Other : 0.20677605
Real values 512...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015980.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79329574 | Other : 0.2067043
Real values 513...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015974.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7939824 | Other : 0.20601758
Real values 514...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015985.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7935111 | Other : 0.2064889
Real values 515...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015976.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7932128 | Other : 0.20678735
Real values 516...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015979.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7839234 | Other : 0.21607666
Real values 517...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015978.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7944605 | Other : 0.20553963
Real values 518...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015987.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7542176 | Other : 0.24578238
Real values 519...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015975.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79333586 | Other : 0.20666417
Real values 520...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015984.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79307574 | Other : 0.20692426
Real values 521...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015983.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7931751 | Other : 0.2068249
Real values 522...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015998.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.8299197 | Other : 0.1700803
Real values 523...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015988.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79348105 | Other : 0.20651895
Real values 524...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015992.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79336786 | Other : 0.20663218
Real values 525...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015991.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79337597 | Other : 0.20662403
Real values 526...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015993.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7934007 | Other : 0.2065993
Real values 527...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015995.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7940971 | Other : 0.20590286
Real values 528...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015990.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79393667 | Other : 0.20606336
Real values 529...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015997.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7936987 | Other : 0.20630127
Real values 530...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015994.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79337406 | Other : 0.20662592
Real values 531...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015989.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79340196 | Other : 0.20659809
Real values 532...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015996.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7934715 | Other : 0.20652848
Real values 533...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016006.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79339826 | Other : 0.20660174
Real values 534...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016004.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79446304 | Other : 0.205537
Real values 535...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016002.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79423374 | Other : 0.20576625
Real values 536...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016003.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.8262579 | Other : 0.17374215
Real values 537...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016011.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7934946 | Other : 0.2065054
Real values 538...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016009.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7931694 | Other : 0.20683074
Real values 539...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016005.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79349035 | Other : 0.20650971
Real values 540...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016008.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79373306 | Other : 0.20626698
Real values 541...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016000.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7935585 | Other : 0.20644155
Real values 542...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0015999.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.8299221 | Other : 0.1700779
Real values 543...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016007.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.829585 | Other : 0.17041498
Real values 544...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016001.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79018164 | Other : 0.20981836
Real values 545...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016015.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7929966 | Other : 0.20700347
Real values 546...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016019.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7663781 | Other : 0.23362193
Real values 547...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016022.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7956514 | Other : 0.20434862
Real values 548...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016014.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7934324 | Other : 0.20656759
Real values 549...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016012.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79740614 | Other : 0.2025939
Real values 550...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016016.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.8299048 | Other : 0.1700952
Real values 551...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016018.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.78080076 | Other : 0.21919927
Real values 552...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016024.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7933792 | Other : 0.2066208
Real values 553...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016017.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79348105 | Other : 0.20651898
Real values 554...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016023.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79349315 | Other : 0.20650685
Real values 555...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016013.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.76172304 | Other : 0.238277
Real values 556...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016030.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79351556 | Other : 0.20648448
Real values 557...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016033.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79383105 | Other : 0.206169
Real values 558...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016034.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7932434 | Other : 0.20675665
Real values 559...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016025.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7940551 | Other : 0.20594494
Real values 560...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016028.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7934293 | Other : 0.20657073
Real values 561...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016027.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7970358 | Other : 0.20296419
Real values 562...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016026.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7855803 | Other : 0.21441978
Real values 563...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016029.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79323673 | Other : 0.20676327
Real values 564...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016031.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79337925 | Other : 0.20662078
Real values 565...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016035.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79346013 | Other : 0.20653991
Real values 566...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016041.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79360694 | Other : 0.20639306
Real values 567...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016038.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79495156 | Other : 0.20504853
Real values 568...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016036.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79413575 | Other : 0.20586431
Real values 569...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016043.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79413295 | Other : 0.20586708
Real values 570...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016046.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79563546 | Other : 0.20436451
Real values 571...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016037.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7932639 | Other : 0.20673607
Real values 572...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016045.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7936666 | Other : 0.2063334
Real values 573...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016044.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7935211 | Other : 0.20647883
Real values 574...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016040.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7939238 | Other : 0.2060762
Real values 575...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016042.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7939572 | Other : 0.20604286
Real values 576...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016048.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.793271 | Other : 0.20672902
Real values 577...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016059.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79349273 | Other : 0.20650731
Real values 578...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016054.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79488605 | Other : 0.205114
Real values 579...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016057.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79343176 | Other : 0.20656824
Real values 580...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016052.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79344845 | Other : 0.20655155
Real values 581...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016055.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79304314 | Other : 0.20695683
Real values 582...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016058.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.82938087 | Other : 0.17061916
Real values 583...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016051.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79362816 | Other : 0.20637183
Real values 584...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016049.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7935053 | Other : 0.20649473
Real values 585...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016053.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.8296317 | Other : 0.17036836
Real values 586...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016050.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79450834 | Other : 0.20549177
Real values 587...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016056.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.8299227 | Other : 0.1700773
Real values 588...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016070.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.8112363 | Other : 0.18876366
Real values 589...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016063.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7933425 | Other : 0.20665757
Real values 590...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016065.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.8296509 | Other : 0.17034912
Real values 591...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016062.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79405427 | Other : 0.20594577
Real values 592...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016069.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7938602 | Other : 0.20613983
Real values 593...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016072.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7957462 | Other : 0.20425388
Real values 594...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016064.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.8297572 | Other : 0.17024282
Real values 595...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016060.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7943186 | Other : 0.20568141
Real values 596...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016061.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7940931 | Other : 0.20590699
Real values 597...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016071.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.79381955 | Other : 0.20618056
Real values 598...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016068.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.7944211 | Other : 0.20557897
Real values 599...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
Image Path: /content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0016066.jpg
Arhitecture Used:
<tensorflow.python.keras.engine.functional.Functional object at 0x7fb276a267d0>
Path for Model Weights:
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/Ensemble Model/ensemble_model.h5
Model Weights:
None
Prediction... Melanoma : 0.82977194 | Other : 0.17022806
Real values 600...Melanoma : 1.0 | Other : 0.0
---------------------------------------------------------------------------
print("Accuracy = %2.2f%%" % (np.mean(correct_Ensemble_Test)*100))
Accuracy = 80.50%
# Re-ordering the actual y (for ROC)
y_true_2_Ensemble_Test = []
for i in range(len(y_true_Ensemble_Test)):
y_true_2_Ensemble_Test.append(y_true_Ensemble_Test[i][0])
# Re-ordering the predicte y (for ROC)
y_score_2_Ensemble_Test = []
for i in range(len(y_score_Ensemble_Test)):
y_score_2_Ensemble_Test.append(y_score_Ensemble_Test[i][0])
plot_roc(y_true_2_Ensemble_Test, y_score_2_Ensemble_Test)
def positive_negative_measurement(y_true, y_score):
# Initialization
TRUE_POSITIVE = 0
FALSE_POSITIVE = 0
TRUE_NEGATIVE = 0
FALSE_NEGATIVE = 0
# Calculating the model
for i in range(len(y_score)):
if y_true[i] == y_score[i] == 1:
TRUE_POSITIVE += 1
if (y_score[i] == 1) and (y_true[i] != y_score[i]):
FALSE_POSITIVE += 1
if y_true[i] == y_score[i] == 0:
TRUE_NEGATIVE += 1
if (y_score[i] == 0) and (y_true[i] != y_score[i]):
FALSE_NEGATIVE += 1
return(TRUE_POSITIVE, FALSE_POSITIVE, TRUE_NEGATIVE, FALSE_NEGATIVE)
TRUE_POSITIVE_Ensemble_Test, FALSE_POSITIVE_Ensemble_Test, TRUE_NEGATIVE_Ensemble_Test, FALSE_NEGATIVE_Ensemble_Test = positive_negative_measurement(y_true_2_Ensemble_Test, y_score_2_Ensemble_Test)
postives_negatives_Ensemble_Test = [[TRUE_POSITIVE_Ensemble_Test, FALSE_POSITIVE_Ensemble_Test],
[FALSE_NEGATIVE_Ensemble_Test, TRUE_NEGATIVE_Ensemble_Test]]
sns.set()
labels_Ensemble_Test = np.array([['True positive: ' + str(TRUE_POSITIVE_Ensemble_Test),
'False positive: ' + str(FALSE_POSITIVE_Ensemble_Test)],
['False negative: ' + str(FALSE_NEGATIVE_Ensemble_Test),
'True negative: ' + str(TRUE_POSITIVE_Ensemble_Test)]])
plt.figure(figsize = (13, 10))
sns.heatmap(postives_negatives_Ensemble_Test, annot = labels_Ensemble_Test, linewidths = 0.1, fmt="", cmap = 'RdYlGn')
<matplotlib.axes._subplots.AxesSubplot at 0x7fb269306910>
# Sensitivity | Recall | hit rate | true positive rate (TPR)
sensitivity_Ensemble_Test = TRUE_POSITIVE_Ensemble_Test / (TRUE_POSITIVE_Ensemble_Test + FALSE_NEGATIVE_Ensemble_Test)
print("Sensitivity: ", sensitivity_Ensemble_Test)
Sensitivity: 1.0
# Specificity | selectivity | true negative rate (TNR)
try:
specifity_Ensemble_Test = TRUE_NEGATIVE_Ensemble_Test / (TRUE_NEGATIVE_Ensemble_Test + FALSE_NEGATIVE_Ensemble_Test)
print("Specifity: ", specifity_Ensemble_Test)
except:
print("No Specificity due to NO NEGATIVE results.")
No Specificity due to NO NEGATIVE results.
# Precision | positive predictive value (PPV)
predcision_Ensemble_Test = TRUE_POSITIVE_Ensemble_Test / (TRUE_POSITIVE_Ensemble_Test + FALSE_POSITIVE_Ensemble_Test)
print("Precision: ", predcision_Ensemble_Test)
Precision: 0.805
# Negative predictive value (NPV)
try:
npv_Ensemble_Test = TRUE_NEGATIVE_Ensemble_Test / (TRUE_NEGATIVE_Ensemble_Test + FALSE_NEGATIVE_Ensemble_Test)
print("Negative predictive value: ", npv_Ensemble_Test)
except:
print("0 Negative Predictions")
0 Negative Predictions
# Accuracy
accuracy_Ensemble_Test = (TRUE_POSITIVE_Ensemble_Test + TRUE_NEGATIVE_Ensemble_Test) / (TRUE_POSITIVE_Ensemble_Test + FALSE_POSITIVE_Ensemble_Test + TRUE_NEGATIVE_Ensemble_Test + FALSE_NEGATIVE_Ensemble_Test)
print("Accuracy: ", accuracy_Ensemble_Test)
Accuracy: 0.805
Working Flowchart:
# Importing the libraries
from keras.applications.mobilenet import preprocess_input
import scipy
import cv2
path_to_model_weight = "/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/Saved Models/weights.best.mobilenet.hdf5"
img_path = "/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/ISIC-2017_Test_v2_Data/Data Image JPG/ISIC_0012240.jpg"
def getting_two_layer_weights(path_model_weight = path_to_model_weight):
# The model
# Imprting the model
from keras.applications.mobilenet import MobileNet
# Pre-build model
base_model = MobileNet(include_top = False, weights = None, input_shape = (512, 512, 3))
# Adding output layers
x = base_model.output
x = GlobalAveragePooling2D()(x)
output = Dense(units = 2, activation = 'softmax')(x)
# Creating the whole model
model = Model(base_model.input, output)
#model.summary()
# Compiling the model
model.compile(optimizer = keras.optimizers.Adam(lr = 0.001),
loss = 'categorical_crossentropy',
metrics = ['accuracy'])
# loading the weights
model.load_weights(path_model_weight)
# Getting the AMP layer weight
all_amp_layer_weights = model.layers[-1].get_weights()[0]
# Extracting the wanted output
mobilenet_model = Model(inputs = model.input, outputs = (model.layers[-3].output, model.layers[-1].output))
return mobilenet_model, all_amp_layer_weights
mobilenet_model, all_amp_layer_weights = getting_two_layer_weights(path_to_model_weight)
def mobilenet_CAM(img_path, model, all_amp_layer_weights):
# Getting filtered images from last convolutional layer + model prediction output
last_conv_output, predictions = model.predict(path_to_tensor(img_path)) # last_conv_output.shape = (1, 16, 16, 1024)
# Converting the dimension of last convolutional layer to 16 x 16 x 1024
last_conv_output = np.squeeze(last_conv_output)
# Model's prediction
predicted_class = np.argmax(predictions)
# Bilinear upsampling (resize each image to size of original image)
mat_for_mult = scipy.ndimage.zoom(last_conv_output, (32, 32, 1), order = 1) # dim from (16, 16, 1024) to (512, 512, 1024)
# Getting the AMP layer weights
amp_layer_weights = all_amp_layer_weights[:, predicted_class] # dim: (1024,)
# CAM for object class that is predicted to be in the image
final_output = np.dot(mat_for_mult, amp_layer_weights) # dim: 512 x 512
# Return class activation map (CAM)
return final_output, predicted_class
final_output, predicted_class = mobilenet_CAM(img_path, mobilenet_model, all_amp_layer_weights)
def plot_CAM(img_path, ax, model, all_amp_layer_weights):
# Loading the image / resizing to 512x512 / Converting BGR to RGB
#im = cv2.resize(cv2.cvtColor(cv2.imread(img_path), cv2.COLOR_BGR2RGB), (512, 512))
im = path_to_tensor(img_path).astype("float32")/255.
# Plotting the image
ax.imshow(im.squeeze(), vmin=0, vmax=255)
# Getting the class activation map
CAM, pred = mobilenet_CAM(img_path, model, all_amp_layer_weights)
CAM = (CAM - CAM.min()) / (CAM.max() - CAM.min())
# Plotting the class activation map
ax.imshow(CAM, cmap = "jet", alpha = 0.5, interpolation='nearest', vmin=0, vmax=1)
# Visualizing images with and without localization
# Canvas
fig, ax = plt.subplots(nrows=1, ncols=2, figsize = (10, 10))
# Image without localization
ax[0].imshow((path_to_tensor(img_path).astype('float32')/255).squeeze())
# Image with localization
CAM = plot_CAM(img_path, ax[1], mobilenet_model, all_amp_layer_weights)
plt.show()
# Getting the image tensor
image_to_predict = path_to_tensor(img_path).astype('float32')/255
print(image_to_predict)
[[[[0.08627451 0.07843138 0.09019608] [0.08627451 0.07843138 0.09019608] [0.08627451 0.08235294 0.07450981] ... [0.39215687 0.23137255 0.14509805] [0.36862746 0.20784314 0.12156863] [0.14901961 0.08235294 0.05490196]] [[0.08235294 0.07450981 0.08627451] [0.08627451 0.07843138 0.09019608] [0.09411765 0.09019608 0.08235294] ... [0.3764706 0.22745098 0.15294118] [0.37254903 0.22352941 0.13333334] [0.36862746 0.23921569 0.16470589]] [[0.08627451 0.08627451 0.09411765] [0.08627451 0.07843138 0.09019608] [0.08627451 0.07843138 0.08235294] ... [0.38431373 0.23529412 0.14509805] [0.3764706 0.22745098 0.15294118] [0.3882353 0.23921569 0.15686275]] ... [[0.07843138 0.07058824 0.08235294] [0.06666667 0.05882353 0.07058824] [0.06666667 0.06666667 0.06666667] ... [0.43529412 0.33333334 0.27450982] [0.4117647 0.29803923 0.24313726] [0.4862745 0.4 0.35686275]] [[0.07450981 0.06666667 0.07058824] [0.07058824 0.07058824 0.07058824] [0.06666667 0.06666667 0.06666667] ... [0.49019608 0.3882353 0.3372549 ] [0.45882353 0.35686275 0.29803923] [0.49019608 0.39607844 0.35686275]] [[0.07450981 0.07058824 0.05490196] [0.07843138 0.07058824 0.07450981] [0.07450981 0.07450981 0.08235294] ... [0.5294118 0.44313726 0.3882353 ] [0.49411765 0.40784314 0.3529412 ] [0.45882353 0.34901962 0.3019608 ]]]]
# Predicting the image
prediction = ensemble_model.predict(image_to_predict)
print(prediction)
[[0.78165424 0.21834576]]
prediction_final = "Melanoma: " + str(np.round(prediction[0][0]*100, decimals = 4)) + "%" + \
" | Other illness: " + str(np.round(prediction[0][1]*100, decimals = 4)) + "%"
# Canvas initialization
fig = plt.figure(figsize = (10, 10))
# First image
ax = fig.add_subplot(121)
ax.imshow(image_to_predict.squeeze())
ax.text(0.3, 1.6, prediction_final)
# Second image
ax = fig.add_subplot(122)
CAM = plot_CAM(img_path, ax, mobilenet_model, all_amp_layer_weights)
plt.show()
Working Flowchart:
%cd "/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/FINAL SAVED OUTPUTS/"
ensemble_model.save('FINAL_FILE_for_Soft_Computing_Project_Skin_Cancer.h5')
h5_saved_ensemble_model = load_model('FINAL_FILE_for_Soft_Computing_Project_Skin_Cancer.h5')
h5_saved_ensemble_model.summary()
/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/FINAL SAVED OUTPUTS
WARNING:tensorflow:No training configuration found in the save file, so the model was *not* compiled. Compile it manually.
Model: "ensemble"
__________________________________________________________________________________________________
Layer (type) Output Shape Param # Connected to
==================================================================================================
input_11 (InputLayer) [(None, 512, 512, 3) 0
__________________________________________________________________________________________________
conv2d_490 (Conv2D) (None, 255, 255, 32) 864 input_11[0][0]
__________________________________________________________________________________________________
batch_normalization_490 (BatchN (None, 255, 255, 32) 96 conv2d_490[0][0]
__________________________________________________________________________________________________
activation_470 (Activation) (None, 255, 255, 32) 0 batch_normalization_490[0][0]
__________________________________________________________________________________________________
conv2d_491 (Conv2D) (None, 253, 253, 32) 9216 activation_470[0][0]
__________________________________________________________________________________________________
batch_normalization_491 (BatchN (None, 253, 253, 32) 96 conv2d_491[0][0]
__________________________________________________________________________________________________
activation_471 (Activation) (None, 253, 253, 32) 0 batch_normalization_491[0][0]
__________________________________________________________________________________________________
conv2d_492 (Conv2D) (None, 253, 253, 64) 18432 activation_471[0][0]
__________________________________________________________________________________________________
batch_normalization_492 (BatchN (None, 253, 253, 64) 192 conv2d_492[0][0]
__________________________________________________________________________________________________
activation_472 (Activation) (None, 253, 253, 64) 0 batch_normalization_492[0][0]
__________________________________________________________________________________________________
max_pooling2d_20 (MaxPooling2D) (None, 126, 126, 64) 0 activation_472[0][0]
__________________________________________________________________________________________________
conv2d_493 (Conv2D) (None, 126, 126, 80) 5120 max_pooling2d_20[0][0]
__________________________________________________________________________________________________
batch_normalization_493 (BatchN (None, 126, 126, 80) 240 conv2d_493[0][0]
__________________________________________________________________________________________________
activation_473 (Activation) (None, 126, 126, 80) 0 batch_normalization_493[0][0]
__________________________________________________________________________________________________
conv2d_494 (Conv2D) (None, 124, 124, 192 138240 activation_473[0][0]
__________________________________________________________________________________________________
batch_normalization_494 (BatchN (None, 124, 124, 192 576 conv2d_494[0][0]
__________________________________________________________________________________________________
activation_474 (Activation) (None, 124, 124, 192 0 batch_normalization_494[0][0]
__________________________________________________________________________________________________
max_pooling2d_21 (MaxPooling2D) (None, 61, 61, 192) 0 activation_474[0][0]
__________________________________________________________________________________________________
conv2d_498 (Conv2D) (None, 61, 61, 64) 12288 max_pooling2d_21[0][0]
__________________________________________________________________________________________________
batch_normalization_498 (BatchN (None, 61, 61, 64) 192 conv2d_498[0][0]
__________________________________________________________________________________________________
activation_478 (Activation) (None, 61, 61, 64) 0 batch_normalization_498[0][0]
__________________________________________________________________________________________________
conv2d_496 (Conv2D) (None, 61, 61, 48) 9216 max_pooling2d_21[0][0]
__________________________________________________________________________________________________
conv2d_499 (Conv2D) (None, 61, 61, 96) 55296 activation_478[0][0]
__________________________________________________________________________________________________
batch_normalization_496 (BatchN (None, 61, 61, 48) 144 conv2d_496[0][0]
__________________________________________________________________________________________________
batch_normalization_499 (BatchN (None, 61, 61, 96) 288 conv2d_499[0][0]
__________________________________________________________________________________________________
activation_476 (Activation) (None, 61, 61, 48) 0 batch_normalization_496[0][0]
__________________________________________________________________________________________________
activation_479 (Activation) (None, 61, 61, 96) 0 batch_normalization_499[0][0]
__________________________________________________________________________________________________
average_pooling2d_45 (AveragePo (None, 61, 61, 192) 0 max_pooling2d_21[0][0]
__________________________________________________________________________________________________
conv2d_495 (Conv2D) (None, 61, 61, 64) 12288 max_pooling2d_21[0][0]
__________________________________________________________________________________________________
conv2d_497 (Conv2D) (None, 61, 61, 64) 76800 activation_476[0][0]
__________________________________________________________________________________________________
conv2d_500 (Conv2D) (None, 61, 61, 96) 82944 activation_479[0][0]
__________________________________________________________________________________________________
conv2d_501 (Conv2D) (None, 61, 61, 32) 6144 average_pooling2d_45[0][0]
__________________________________________________________________________________________________
batch_normalization_495 (BatchN (None, 61, 61, 64) 192 conv2d_495[0][0]
__________________________________________________________________________________________________
batch_normalization_497 (BatchN (None, 61, 61, 64) 192 conv2d_497[0][0]
__________________________________________________________________________________________________
batch_normalization_500 (BatchN (None, 61, 61, 96) 288 conv2d_500[0][0]
__________________________________________________________________________________________________
batch_normalization_501 (BatchN (None, 61, 61, 32) 96 conv2d_501[0][0]
__________________________________________________________________________________________________
activation_475 (Activation) (None, 61, 61, 64) 0 batch_normalization_495[0][0]
__________________________________________________________________________________________________
activation_477 (Activation) (None, 61, 61, 64) 0 batch_normalization_497[0][0]
__________________________________________________________________________________________________
activation_480 (Activation) (None, 61, 61, 96) 0 batch_normalization_500[0][0]
__________________________________________________________________________________________________
activation_481 (Activation) (None, 61, 61, 32) 0 batch_normalization_501[0][0]
__________________________________________________________________________________________________
mixed0 (Concatenate) (None, 61, 61, 256) 0 activation_475[0][0]
activation_477[0][0]
activation_480[0][0]
activation_481[0][0]
__________________________________________________________________________________________________
conv2d_505 (Conv2D) (None, 61, 61, 64) 16384 mixed0[0][0]
__________________________________________________________________________________________________
batch_normalization_505 (BatchN (None, 61, 61, 64) 192 conv2d_505[0][0]
__________________________________________________________________________________________________
activation_485 (Activation) (None, 61, 61, 64) 0 batch_normalization_505[0][0]
__________________________________________________________________________________________________
conv2d_503 (Conv2D) (None, 61, 61, 48) 12288 mixed0[0][0]
__________________________________________________________________________________________________
conv2d_506 (Conv2D) (None, 61, 61, 96) 55296 activation_485[0][0]
__________________________________________________________________________________________________
batch_normalization_503 (BatchN (None, 61, 61, 48) 144 conv2d_503[0][0]
__________________________________________________________________________________________________
batch_normalization_506 (BatchN (None, 61, 61, 96) 288 conv2d_506[0][0]
__________________________________________________________________________________________________
activation_483 (Activation) (None, 61, 61, 48) 0 batch_normalization_503[0][0]
__________________________________________________________________________________________________
activation_486 (Activation) (None, 61, 61, 96) 0 batch_normalization_506[0][0]
__________________________________________________________________________________________________
average_pooling2d_46 (AveragePo (None, 61, 61, 256) 0 mixed0[0][0]
__________________________________________________________________________________________________
conv2d_502 (Conv2D) (None, 61, 61, 64) 16384 mixed0[0][0]
__________________________________________________________________________________________________
conv2d_504 (Conv2D) (None, 61, 61, 64) 76800 activation_483[0][0]
__________________________________________________________________________________________________
conv2d_507 (Conv2D) (None, 61, 61, 96) 82944 activation_486[0][0]
__________________________________________________________________________________________________
conv2d_508 (Conv2D) (None, 61, 61, 64) 16384 average_pooling2d_46[0][0]
__________________________________________________________________________________________________
block1_conv1 (Conv2D) (None, 255, 255, 32) 864 input_11[0][0]
__________________________________________________________________________________________________
batch_normalization_502 (BatchN (None, 61, 61, 64) 192 conv2d_502[0][0]
__________________________________________________________________________________________________
batch_normalization_504 (BatchN (None, 61, 61, 64) 192 conv2d_504[0][0]
__________________________________________________________________________________________________
batch_normalization_507 (BatchN (None, 61, 61, 96) 288 conv2d_507[0][0]
__________________________________________________________________________________________________
batch_normalization_508 (BatchN (None, 61, 61, 64) 192 conv2d_508[0][0]
__________________________________________________________________________________________________
block1_conv1_bn (BatchNormaliza (None, 255, 255, 32) 128 block1_conv1[0][0]
__________________________________________________________________________________________________
activation_482 (Activation) (None, 61, 61, 64) 0 batch_normalization_502[0][0]
__________________________________________________________________________________________________
activation_484 (Activation) (None, 61, 61, 64) 0 batch_normalization_504[0][0]
__________________________________________________________________________________________________
activation_487 (Activation) (None, 61, 61, 96) 0 batch_normalization_507[0][0]
__________________________________________________________________________________________________
activation_488 (Activation) (None, 61, 61, 64) 0 batch_normalization_508[0][0]
__________________________________________________________________________________________________
block1_conv1_act (Activation) (None, 255, 255, 32) 0 block1_conv1_bn[0][0]
__________________________________________________________________________________________________
mixed1 (Concatenate) (None, 61, 61, 288) 0 activation_482[0][0]
activation_484[0][0]
activation_487[0][0]
activation_488[0][0]
__________________________________________________________________________________________________
block1_conv2 (Conv2D) (None, 253, 253, 64) 18432 block1_conv1_act[0][0]
__________________________________________________________________________________________________
conv2d_512 (Conv2D) (None, 61, 61, 64) 18432 mixed1[0][0]
__________________________________________________________________________________________________
block1_conv2_bn (BatchNormaliza (None, 253, 253, 64) 256 block1_conv2[0][0]
__________________________________________________________________________________________________
batch_normalization_512 (BatchN (None, 61, 61, 64) 192 conv2d_512[0][0]
__________________________________________________________________________________________________
block1_conv2_act (Activation) (None, 253, 253, 64) 0 block1_conv2_bn[0][0]
__________________________________________________________________________________________________
activation_492 (Activation) (None, 61, 61, 64) 0 batch_normalization_512[0][0]
__________________________________________________________________________________________________
block2_sepconv1 (SeparableConv2 (None, 253, 253, 128 8768 block1_conv2_act[0][0]
__________________________________________________________________________________________________
conv2d_510 (Conv2D) (None, 61, 61, 48) 13824 mixed1[0][0]
__________________________________________________________________________________________________
conv2d_513 (Conv2D) (None, 61, 61, 96) 55296 activation_492[0][0]
__________________________________________________________________________________________________
block2_sepconv1_bn (BatchNormal (None, 253, 253, 128 512 block2_sepconv1[0][0]
__________________________________________________________________________________________________
batch_normalization_510 (BatchN (None, 61, 61, 48) 144 conv2d_510[0][0]
__________________________________________________________________________________________________
batch_normalization_513 (BatchN (None, 61, 61, 96) 288 conv2d_513[0][0]
__________________________________________________________________________________________________
block2_sepconv2_act (Activation (None, 253, 253, 128 0 block2_sepconv1_bn[0][0]
__________________________________________________________________________________________________
activation_490 (Activation) (None, 61, 61, 48) 0 batch_normalization_510[0][0]
__________________________________________________________________________________________________
activation_493 (Activation) (None, 61, 61, 96) 0 batch_normalization_513[0][0]
__________________________________________________________________________________________________
average_pooling2d_47 (AveragePo (None, 61, 61, 288) 0 mixed1[0][0]
__________________________________________________________________________________________________
block2_sepconv2 (SeparableConv2 (None, 253, 253, 128 17536 block2_sepconv2_act[0][0]
__________________________________________________________________________________________________
conv2d_509 (Conv2D) (None, 61, 61, 64) 18432 mixed1[0][0]
__________________________________________________________________________________________________
conv2d_511 (Conv2D) (None, 61, 61, 64) 76800 activation_490[0][0]
__________________________________________________________________________________________________
conv2d_514 (Conv2D) (None, 61, 61, 96) 82944 activation_493[0][0]
__________________________________________________________________________________________________
conv2d_515 (Conv2D) (None, 61, 61, 64) 18432 average_pooling2d_47[0][0]
__________________________________________________________________________________________________
block2_sepconv2_bn (BatchNormal (None, 253, 253, 128 512 block2_sepconv2[0][0]
__________________________________________________________________________________________________
conv2d_584 (Conv2D) (None, 127, 127, 128 8192 block1_conv2_act[0][0]
__________________________________________________________________________________________________
batch_normalization_509 (BatchN (None, 61, 61, 64) 192 conv2d_509[0][0]
__________________________________________________________________________________________________
batch_normalization_511 (BatchN (None, 61, 61, 64) 192 conv2d_511[0][0]
__________________________________________________________________________________________________
batch_normalization_514 (BatchN (None, 61, 61, 96) 288 conv2d_514[0][0]
__________________________________________________________________________________________________
batch_normalization_515 (BatchN (None, 61, 61, 64) 192 conv2d_515[0][0]
__________________________________________________________________________________________________
block2_pool (MaxPooling2D) (None, 127, 127, 128 0 block2_sepconv2_bn[0][0]
__________________________________________________________________________________________________
batch_normalization_584 (BatchN (None, 127, 127, 128 512 conv2d_584[0][0]
__________________________________________________________________________________________________
activation_489 (Activation) (None, 61, 61, 64) 0 batch_normalization_509[0][0]
__________________________________________________________________________________________________
activation_491 (Activation) (None, 61, 61, 64) 0 batch_normalization_511[0][0]
__________________________________________________________________________________________________
activation_494 (Activation) (None, 61, 61, 96) 0 batch_normalization_514[0][0]
__________________________________________________________________________________________________
activation_495 (Activation) (None, 61, 61, 64) 0 batch_normalization_515[0][0]
__________________________________________________________________________________________________
add_60 (Add) (None, 127, 127, 128 0 block2_pool[0][0]
batch_normalization_584[0][0]
__________________________________________________________________________________________________
mixed2 (Concatenate) (None, 61, 61, 288) 0 activation_489[0][0]
activation_491[0][0]
activation_494[0][0]
activation_495[0][0]
__________________________________________________________________________________________________
block3_sepconv1_act (Activation (None, 127, 127, 128 0 add_60[0][0]
__________________________________________________________________________________________________
conv2d_517 (Conv2D) (None, 61, 61, 64) 18432 mixed2[0][0]
__________________________________________________________________________________________________
block3_sepconv1 (SeparableConv2 (None, 127, 127, 256 33920 block3_sepconv1_act[0][0]
__________________________________________________________________________________________________
batch_normalization_517 (BatchN (None, 61, 61, 64) 192 conv2d_517[0][0]
__________________________________________________________________________________________________
block3_sepconv1_bn (BatchNormal (None, 127, 127, 256 1024 block3_sepconv1[0][0]
__________________________________________________________________________________________________
activation_497 (Activation) (None, 61, 61, 64) 0 batch_normalization_517[0][0]
__________________________________________________________________________________________________
block3_sepconv2_act (Activation (None, 127, 127, 256 0 block3_sepconv1_bn[0][0]
__________________________________________________________________________________________________
conv2d_518 (Conv2D) (None, 61, 61, 96) 55296 activation_497[0][0]
__________________________________________________________________________________________________
block3_sepconv2 (SeparableConv2 (None, 127, 127, 256 67840 block3_sepconv2_act[0][0]
__________________________________________________________________________________________________
batch_normalization_518 (BatchN (None, 61, 61, 96) 288 conv2d_518[0][0]
__________________________________________________________________________________________________
block3_sepconv2_bn (BatchNormal (None, 127, 127, 256 1024 block3_sepconv2[0][0]
__________________________________________________________________________________________________
conv2d_585 (Conv2D) (None, 64, 64, 256) 32768 add_60[0][0]
__________________________________________________________________________________________________
activation_498 (Activation) (None, 61, 61, 96) 0 batch_normalization_518[0][0]
__________________________________________________________________________________________________
block3_pool (MaxPooling2D) (None, 64, 64, 256) 0 block3_sepconv2_bn[0][0]
__________________________________________________________________________________________________
batch_normalization_585 (BatchN (None, 64, 64, 256) 1024 conv2d_585[0][0]
__________________________________________________________________________________________________
conv2d_516 (Conv2D) (None, 30, 30, 384) 995328 mixed2[0][0]
__________________________________________________________________________________________________
conv2d_519 (Conv2D) (None, 30, 30, 96) 82944 activation_498[0][0]
__________________________________________________________________________________________________
add_61 (Add) (None, 64, 64, 256) 0 block3_pool[0][0]
batch_normalization_585[0][0]
__________________________________________________________________________________________________
batch_normalization_516 (BatchN (None, 30, 30, 384) 1152 conv2d_516[0][0]
__________________________________________________________________________________________________
batch_normalization_519 (BatchN (None, 30, 30, 96) 288 conv2d_519[0][0]
__________________________________________________________________________________________________
block4_sepconv1_act (Activation (None, 64, 64, 256) 0 add_61[0][0]
__________________________________________________________________________________________________
activation_496 (Activation) (None, 30, 30, 384) 0 batch_normalization_516[0][0]
__________________________________________________________________________________________________
activation_499 (Activation) (None, 30, 30, 96) 0 batch_normalization_519[0][0]
__________________________________________________________________________________________________
max_pooling2d_22 (MaxPooling2D) (None, 30, 30, 288) 0 mixed2[0][0]
__________________________________________________________________________________________________
block4_sepconv1 (SeparableConv2 (None, 64, 64, 728) 188672 block4_sepconv1_act[0][0]
__________________________________________________________________________________________________
mixed3 (Concatenate) (None, 30, 30, 768) 0 activation_496[0][0]
activation_499[0][0]
max_pooling2d_22[0][0]
__________________________________________________________________________________________________
block4_sepconv1_bn (BatchNormal (None, 64, 64, 728) 2912 block4_sepconv1[0][0]
__________________________________________________________________________________________________
conv2d_524 (Conv2D) (None, 30, 30, 128) 98304 mixed3[0][0]
__________________________________________________________________________________________________
block4_sepconv2_act (Activation (None, 64, 64, 728) 0 block4_sepconv1_bn[0][0]
__________________________________________________________________________________________________
batch_normalization_524 (BatchN (None, 30, 30, 128) 384 conv2d_524[0][0]
__________________________________________________________________________________________________
block4_sepconv2 (SeparableConv2 (None, 64, 64, 728) 536536 block4_sepconv2_act[0][0]
__________________________________________________________________________________________________
activation_504 (Activation) (None, 30, 30, 128) 0 batch_normalization_524[0][0]
__________________________________________________________________________________________________
block4_sepconv2_bn (BatchNormal (None, 64, 64, 728) 2912 block4_sepconv2[0][0]
__________________________________________________________________________________________________
conv2d_586 (Conv2D) (None, 32, 32, 728) 186368 add_61[0][0]
__________________________________________________________________________________________________
conv2d_525 (Conv2D) (None, 30, 30, 128) 114688 activation_504[0][0]
__________________________________________________________________________________________________
block4_pool (MaxPooling2D) (None, 32, 32, 728) 0 block4_sepconv2_bn[0][0]
__________________________________________________________________________________________________
batch_normalization_586 (BatchN (None, 32, 32, 728) 2912 conv2d_586[0][0]
__________________________________________________________________________________________________
batch_normalization_525 (BatchN (None, 30, 30, 128) 384 conv2d_525[0][0]
__________________________________________________________________________________________________
add_62 (Add) (None, 32, 32, 728) 0 block4_pool[0][0]
batch_normalization_586[0][0]
__________________________________________________________________________________________________
activation_505 (Activation) (None, 30, 30, 128) 0 batch_normalization_525[0][0]
__________________________________________________________________________________________________
block5_sepconv1_act (Activation (None, 32, 32, 728) 0 add_62[0][0]
__________________________________________________________________________________________________
conv2d_521 (Conv2D) (None, 30, 30, 128) 98304 mixed3[0][0]
__________________________________________________________________________________________________
conv2d_526 (Conv2D) (None, 30, 30, 128) 114688 activation_505[0][0]
__________________________________________________________________________________________________
block5_sepconv1 (SeparableConv2 (None, 32, 32, 728) 536536 block5_sepconv1_act[0][0]
__________________________________________________________________________________________________
batch_normalization_521 (BatchN (None, 30, 30, 128) 384 conv2d_521[0][0]
__________________________________________________________________________________________________
batch_normalization_526 (BatchN (None, 30, 30, 128) 384 conv2d_526[0][0]
__________________________________________________________________________________________________
block5_sepconv1_bn (BatchNormal (None, 32, 32, 728) 2912 block5_sepconv1[0][0]
__________________________________________________________________________________________________
activation_501 (Activation) (None, 30, 30, 128) 0 batch_normalization_521[0][0]
__________________________________________________________________________________________________
activation_506 (Activation) (None, 30, 30, 128) 0 batch_normalization_526[0][0]
__________________________________________________________________________________________________
block5_sepconv2_act (Activation (None, 32, 32, 728) 0 block5_sepconv1_bn[0][0]
__________________________________________________________________________________________________
conv2d_522 (Conv2D) (None, 30, 30, 128) 114688 activation_501[0][0]
__________________________________________________________________________________________________
conv2d_527 (Conv2D) (None, 30, 30, 128) 114688 activation_506[0][0]
__________________________________________________________________________________________________
block5_sepconv2 (SeparableConv2 (None, 32, 32, 728) 536536 block5_sepconv2_act[0][0]
__________________________________________________________________________________________________
batch_normalization_522 (BatchN (None, 30, 30, 128) 384 conv2d_522[0][0]
__________________________________________________________________________________________________
batch_normalization_527 (BatchN (None, 30, 30, 128) 384 conv2d_527[0][0]
__________________________________________________________________________________________________
block5_sepconv2_bn (BatchNormal (None, 32, 32, 728) 2912 block5_sepconv2[0][0]
__________________________________________________________________________________________________
activation_502 (Activation) (None, 30, 30, 128) 0 batch_normalization_522[0][0]
__________________________________________________________________________________________________
activation_507 (Activation) (None, 30, 30, 128) 0 batch_normalization_527[0][0]
__________________________________________________________________________________________________
average_pooling2d_48 (AveragePo (None, 30, 30, 768) 0 mixed3[0][0]
__________________________________________________________________________________________________
block5_sepconv3_act (Activation (None, 32, 32, 728) 0 block5_sepconv2_bn[0][0]
__________________________________________________________________________________________________
conv2d_520 (Conv2D) (None, 30, 30, 192) 147456 mixed3[0][0]
__________________________________________________________________________________________________
conv2d_523 (Conv2D) (None, 30, 30, 192) 172032 activation_502[0][0]
__________________________________________________________________________________________________
conv2d_528 (Conv2D) (None, 30, 30, 192) 172032 activation_507[0][0]
__________________________________________________________________________________________________
conv2d_529 (Conv2D) (None, 30, 30, 192) 147456 average_pooling2d_48[0][0]
__________________________________________________________________________________________________
block5_sepconv3 (SeparableConv2 (None, 32, 32, 728) 536536 block5_sepconv3_act[0][0]
__________________________________________________________________________________________________
batch_normalization_520 (BatchN (None, 30, 30, 192) 576 conv2d_520[0][0]
__________________________________________________________________________________________________
batch_normalization_523 (BatchN (None, 30, 30, 192) 576 conv2d_523[0][0]
__________________________________________________________________________________________________
batch_normalization_528 (BatchN (None, 30, 30, 192) 576 conv2d_528[0][0]
__________________________________________________________________________________________________
batch_normalization_529 (BatchN (None, 30, 30, 192) 576 conv2d_529[0][0]
__________________________________________________________________________________________________
block5_sepconv3_bn (BatchNormal (None, 32, 32, 728) 2912 block5_sepconv3[0][0]
__________________________________________________________________________________________________
conv1 (Conv2D) (None, 256, 256, 32) 864 input_11[0][0]
__________________________________________________________________________________________________
activation_500 (Activation) (None, 30, 30, 192) 0 batch_normalization_520[0][0]
__________________________________________________________________________________________________
activation_503 (Activation) (None, 30, 30, 192) 0 batch_normalization_523[0][0]
__________________________________________________________________________________________________
activation_508 (Activation) (None, 30, 30, 192) 0 batch_normalization_528[0][0]
__________________________________________________________________________________________________
activation_509 (Activation) (None, 30, 30, 192) 0 batch_normalization_529[0][0]
__________________________________________________________________________________________________
add_63 (Add) (None, 32, 32, 728) 0 block5_sepconv3_bn[0][0]
add_62[0][0]
__________________________________________________________________________________________________
conv1_bn (BatchNormalization) (None, 256, 256, 32) 128 conv1[0][0]
__________________________________________________________________________________________________
mixed4 (Concatenate) (None, 30, 30, 768) 0 activation_500[0][0]
activation_503[0][0]
activation_508[0][0]
activation_509[0][0]
__________________________________________________________________________________________________
block6_sepconv1_act (Activation (None, 32, 32, 728) 0 add_63[0][0]
__________________________________________________________________________________________________
conv1_relu (ReLU) (None, 256, 256, 32) 0 conv1_bn[0][0]
__________________________________________________________________________________________________
conv2d_534 (Conv2D) (None, 30, 30, 160) 122880 mixed4[0][0]
__________________________________________________________________________________________________
block6_sepconv1 (SeparableConv2 (None, 32, 32, 728) 536536 block6_sepconv1_act[0][0]
__________________________________________________________________________________________________
conv_dw_1 (DepthwiseConv2D) (None, 256, 256, 32) 288 conv1_relu[0][0]
__________________________________________________________________________________________________
batch_normalization_534 (BatchN (None, 30, 30, 160) 480 conv2d_534[0][0]
__________________________________________________________________________________________________
block6_sepconv1_bn (BatchNormal (None, 32, 32, 728) 2912 block6_sepconv1[0][0]
__________________________________________________________________________________________________
conv_dw_1_bn (BatchNormalizatio (None, 256, 256, 32) 128 conv_dw_1[0][0]
__________________________________________________________________________________________________
activation_514 (Activation) (None, 30, 30, 160) 0 batch_normalization_534[0][0]
__________________________________________________________________________________________________
block6_sepconv2_act (Activation (None, 32, 32, 728) 0 block6_sepconv1_bn[0][0]
__________________________________________________________________________________________________
conv_dw_1_relu (ReLU) (None, 256, 256, 32) 0 conv_dw_1_bn[0][0]
__________________________________________________________________________________________________
conv2d_535 (Conv2D) (None, 30, 30, 160) 179200 activation_514[0][0]
__________________________________________________________________________________________________
block6_sepconv2 (SeparableConv2 (None, 32, 32, 728) 536536 block6_sepconv2_act[0][0]
__________________________________________________________________________________________________
conv_pw_1 (Conv2D) (None, 256, 256, 64) 2048 conv_dw_1_relu[0][0]
__________________________________________________________________________________________________
batch_normalization_535 (BatchN (None, 30, 30, 160) 480 conv2d_535[0][0]
__________________________________________________________________________________________________
block6_sepconv2_bn (BatchNormal (None, 32, 32, 728) 2912 block6_sepconv2[0][0]
__________________________________________________________________________________________________
conv_pw_1_bn (BatchNormalizatio (None, 256, 256, 64) 256 conv_pw_1[0][0]
__________________________________________________________________________________________________
activation_515 (Activation) (None, 30, 30, 160) 0 batch_normalization_535[0][0]
__________________________________________________________________________________________________
block6_sepconv3_act (Activation (None, 32, 32, 728) 0 block6_sepconv2_bn[0][0]
__________________________________________________________________________________________________
conv_pw_1_relu (ReLU) (None, 256, 256, 64) 0 conv_pw_1_bn[0][0]
__________________________________________________________________________________________________
conv2d_531 (Conv2D) (None, 30, 30, 160) 122880 mixed4[0][0]
__________________________________________________________________________________________________
conv2d_536 (Conv2D) (None, 30, 30, 160) 179200 activation_515[0][0]
__________________________________________________________________________________________________
block6_sepconv3 (SeparableConv2 (None, 32, 32, 728) 536536 block6_sepconv3_act[0][0]
__________________________________________________________________________________________________
conv_pad_2 (ZeroPadding2D) (None, 257, 257, 64) 0 conv_pw_1_relu[0][0]
__________________________________________________________________________________________________
batch_normalization_531 (BatchN (None, 30, 30, 160) 480 conv2d_531[0][0]
__________________________________________________________________________________________________
batch_normalization_536 (BatchN (None, 30, 30, 160) 480 conv2d_536[0][0]
__________________________________________________________________________________________________
block6_sepconv3_bn (BatchNormal (None, 32, 32, 728) 2912 block6_sepconv3[0][0]
__________________________________________________________________________________________________
conv_dw_2 (DepthwiseConv2D) (None, 128, 128, 64) 576 conv_pad_2[0][0]
__________________________________________________________________________________________________
activation_511 (Activation) (None, 30, 30, 160) 0 batch_normalization_531[0][0]
__________________________________________________________________________________________________
activation_516 (Activation) (None, 30, 30, 160) 0 batch_normalization_536[0][0]
__________________________________________________________________________________________________
add_64 (Add) (None, 32, 32, 728) 0 block6_sepconv3_bn[0][0]
add_63[0][0]
__________________________________________________________________________________________________
conv_dw_2_bn (BatchNormalizatio (None, 128, 128, 64) 256 conv_dw_2[0][0]
__________________________________________________________________________________________________
conv2d_532 (Conv2D) (None, 30, 30, 160) 179200 activation_511[0][0]
__________________________________________________________________________________________________
conv2d_537 (Conv2D) (None, 30, 30, 160) 179200 activation_516[0][0]
__________________________________________________________________________________________________
block7_sepconv1_act (Activation (None, 32, 32, 728) 0 add_64[0][0]
__________________________________________________________________________________________________
conv_dw_2_relu (ReLU) (None, 128, 128, 64) 0 conv_dw_2_bn[0][0]
__________________________________________________________________________________________________
batch_normalization_532 (BatchN (None, 30, 30, 160) 480 conv2d_532[0][0]
__________________________________________________________________________________________________
batch_normalization_537 (BatchN (None, 30, 30, 160) 480 conv2d_537[0][0]
__________________________________________________________________________________________________
block7_sepconv1 (SeparableConv2 (None, 32, 32, 728) 536536 block7_sepconv1_act[0][0]
__________________________________________________________________________________________________
conv_pw_2 (Conv2D) (None, 128, 128, 128 8192 conv_dw_2_relu[0][0]
__________________________________________________________________________________________________
activation_512 (Activation) (None, 30, 30, 160) 0 batch_normalization_532[0][0]
__________________________________________________________________________________________________
activation_517 (Activation) (None, 30, 30, 160) 0 batch_normalization_537[0][0]
__________________________________________________________________________________________________
average_pooling2d_49 (AveragePo (None, 30, 30, 768) 0 mixed4[0][0]
__________________________________________________________________________________________________
block7_sepconv1_bn (BatchNormal (None, 32, 32, 728) 2912 block7_sepconv1[0][0]
__________________________________________________________________________________________________
conv_pw_2_bn (BatchNormalizatio (None, 128, 128, 128 512 conv_pw_2[0][0]
__________________________________________________________________________________________________
conv2d_530 (Conv2D) (None, 30, 30, 192) 147456 mixed4[0][0]
__________________________________________________________________________________________________
conv2d_533 (Conv2D) (None, 30, 30, 192) 215040 activation_512[0][0]
__________________________________________________________________________________________________
conv2d_538 (Conv2D) (None, 30, 30, 192) 215040 activation_517[0][0]
__________________________________________________________________________________________________
conv2d_539 (Conv2D) (None, 30, 30, 192) 147456 average_pooling2d_49[0][0]
__________________________________________________________________________________________________
block7_sepconv2_act (Activation (None, 32, 32, 728) 0 block7_sepconv1_bn[0][0]
__________________________________________________________________________________________________
conv_pw_2_relu (ReLU) (None, 128, 128, 128 0 conv_pw_2_bn[0][0]
__________________________________________________________________________________________________
batch_normalization_530 (BatchN (None, 30, 30, 192) 576 conv2d_530[0][0]
__________________________________________________________________________________________________
batch_normalization_533 (BatchN (None, 30, 30, 192) 576 conv2d_533[0][0]
__________________________________________________________________________________________________
batch_normalization_538 (BatchN (None, 30, 30, 192) 576 conv2d_538[0][0]
__________________________________________________________________________________________________
batch_normalization_539 (BatchN (None, 30, 30, 192) 576 conv2d_539[0][0]
__________________________________________________________________________________________________
block7_sepconv2 (SeparableConv2 (None, 32, 32, 728) 536536 block7_sepconv2_act[0][0]
__________________________________________________________________________________________________
conv_dw_3 (DepthwiseConv2D) (None, 128, 128, 128 1152 conv_pw_2_relu[0][0]
__________________________________________________________________________________________________
activation_510 (Activation) (None, 30, 30, 192) 0 batch_normalization_530[0][0]
__________________________________________________________________________________________________
activation_513 (Activation) (None, 30, 30, 192) 0 batch_normalization_533[0][0]
__________________________________________________________________________________________________
activation_518 (Activation) (None, 30, 30, 192) 0 batch_normalization_538[0][0]
__________________________________________________________________________________________________
activation_519 (Activation) (None, 30, 30, 192) 0 batch_normalization_539[0][0]
__________________________________________________________________________________________________
block7_sepconv2_bn (BatchNormal (None, 32, 32, 728) 2912 block7_sepconv2[0][0]
__________________________________________________________________________________________________
conv_dw_3_bn (BatchNormalizatio (None, 128, 128, 128 512 conv_dw_3[0][0]
__________________________________________________________________________________________________
mixed5 (Concatenate) (None, 30, 30, 768) 0 activation_510[0][0]
activation_513[0][0]
activation_518[0][0]
activation_519[0][0]
__________________________________________________________________________________________________
block7_sepconv3_act (Activation (None, 32, 32, 728) 0 block7_sepconv2_bn[0][0]
__________________________________________________________________________________________________
conv_dw_3_relu (ReLU) (None, 128, 128, 128 0 conv_dw_3_bn[0][0]
__________________________________________________________________________________________________
conv2d_544 (Conv2D) (None, 30, 30, 160) 122880 mixed5[0][0]
__________________________________________________________________________________________________
block7_sepconv3 (SeparableConv2 (None, 32, 32, 728) 536536 block7_sepconv3_act[0][0]
__________________________________________________________________________________________________
conv_pw_3 (Conv2D) (None, 128, 128, 128 16384 conv_dw_3_relu[0][0]
__________________________________________________________________________________________________
batch_normalization_544 (BatchN (None, 30, 30, 160) 480 conv2d_544[0][0]
__________________________________________________________________________________________________
block7_sepconv3_bn (BatchNormal (None, 32, 32, 728) 2912 block7_sepconv3[0][0]
__________________________________________________________________________________________________
conv_pw_3_bn (BatchNormalizatio (None, 128, 128, 128 512 conv_pw_3[0][0]
__________________________________________________________________________________________________
activation_524 (Activation) (None, 30, 30, 160) 0 batch_normalization_544[0][0]
__________________________________________________________________________________________________
add_65 (Add) (None, 32, 32, 728) 0 block7_sepconv3_bn[0][0]
add_64[0][0]
__________________________________________________________________________________________________
conv_pw_3_relu (ReLU) (None, 128, 128, 128 0 conv_pw_3_bn[0][0]
__________________________________________________________________________________________________
conv2d_545 (Conv2D) (None, 30, 30, 160) 179200 activation_524[0][0]
__________________________________________________________________________________________________
block8_sepconv1_act (Activation (None, 32, 32, 728) 0 add_65[0][0]
__________________________________________________________________________________________________
conv_pad_4 (ZeroPadding2D) (None, 129, 129, 128 0 conv_pw_3_relu[0][0]
__________________________________________________________________________________________________
batch_normalization_545 (BatchN (None, 30, 30, 160) 480 conv2d_545[0][0]
__________________________________________________________________________________________________
block8_sepconv1 (SeparableConv2 (None, 32, 32, 728) 536536 block8_sepconv1_act[0][0]
__________________________________________________________________________________________________
conv_dw_4 (DepthwiseConv2D) (None, 64, 64, 128) 1152 conv_pad_4[0][0]
__________________________________________________________________________________________________
activation_525 (Activation) (None, 30, 30, 160) 0 batch_normalization_545[0][0]
__________________________________________________________________________________________________
block8_sepconv1_bn (BatchNormal (None, 32, 32, 728) 2912 block8_sepconv1[0][0]
__________________________________________________________________________________________________
conv_dw_4_bn (BatchNormalizatio (None, 64, 64, 128) 512 conv_dw_4[0][0]
__________________________________________________________________________________________________
conv2d_541 (Conv2D) (None, 30, 30, 160) 122880 mixed5[0][0]
__________________________________________________________________________________________________
conv2d_546 (Conv2D) (None, 30, 30, 160) 179200 activation_525[0][0]
__________________________________________________________________________________________________
block8_sepconv2_act (Activation (None, 32, 32, 728) 0 block8_sepconv1_bn[0][0]
__________________________________________________________________________________________________
conv_dw_4_relu (ReLU) (None, 64, 64, 128) 0 conv_dw_4_bn[0][0]
__________________________________________________________________________________________________
batch_normalization_541 (BatchN (None, 30, 30, 160) 480 conv2d_541[0][0]
__________________________________________________________________________________________________
batch_normalization_546 (BatchN (None, 30, 30, 160) 480 conv2d_546[0][0]
__________________________________________________________________________________________________
block8_sepconv2 (SeparableConv2 (None, 32, 32, 728) 536536 block8_sepconv2_act[0][0]
__________________________________________________________________________________________________
conv_pw_4 (Conv2D) (None, 64, 64, 256) 32768 conv_dw_4_relu[0][0]
__________________________________________________________________________________________________
activation_521 (Activation) (None, 30, 30, 160) 0 batch_normalization_541[0][0]
__________________________________________________________________________________________________
activation_526 (Activation) (None, 30, 30, 160) 0 batch_normalization_546[0][0]
__________________________________________________________________________________________________
block8_sepconv2_bn (BatchNormal (None, 32, 32, 728) 2912 block8_sepconv2[0][0]
__________________________________________________________________________________________________
conv_pw_4_bn (BatchNormalizatio (None, 64, 64, 256) 1024 conv_pw_4[0][0]
__________________________________________________________________________________________________
conv2d_542 (Conv2D) (None, 30, 30, 160) 179200 activation_521[0][0]
__________________________________________________________________________________________________
conv2d_547 (Conv2D) (None, 30, 30, 160) 179200 activation_526[0][0]
__________________________________________________________________________________________________
block8_sepconv3_act (Activation (None, 32, 32, 728) 0 block8_sepconv2_bn[0][0]
__________________________________________________________________________________________________
conv_pw_4_relu (ReLU) (None, 64, 64, 256) 0 conv_pw_4_bn[0][0]
__________________________________________________________________________________________________
batch_normalization_542 (BatchN (None, 30, 30, 160) 480 conv2d_542[0][0]
__________________________________________________________________________________________________
batch_normalization_547 (BatchN (None, 30, 30, 160) 480 conv2d_547[0][0]
__________________________________________________________________________________________________
block8_sepconv3 (SeparableConv2 (None, 32, 32, 728) 536536 block8_sepconv3_act[0][0]
__________________________________________________________________________________________________
conv_dw_5 (DepthwiseConv2D) (None, 64, 64, 256) 2304 conv_pw_4_relu[0][0]
__________________________________________________________________________________________________
activation_522 (Activation) (None, 30, 30, 160) 0 batch_normalization_542[0][0]
__________________________________________________________________________________________________
activation_527 (Activation) (None, 30, 30, 160) 0 batch_normalization_547[0][0]
__________________________________________________________________________________________________
average_pooling2d_50 (AveragePo (None, 30, 30, 768) 0 mixed5[0][0]
__________________________________________________________________________________________________
block8_sepconv3_bn (BatchNormal (None, 32, 32, 728) 2912 block8_sepconv3[0][0]
__________________________________________________________________________________________________
conv_dw_5_bn (BatchNormalizatio (None, 64, 64, 256) 1024 conv_dw_5[0][0]
__________________________________________________________________________________________________
conv2d_540 (Conv2D) (None, 30, 30, 192) 147456 mixed5[0][0]
__________________________________________________________________________________________________
conv2d_543 (Conv2D) (None, 30, 30, 192) 215040 activation_522[0][0]
__________________________________________________________________________________________________
conv2d_548 (Conv2D) (None, 30, 30, 192) 215040 activation_527[0][0]
__________________________________________________________________________________________________
conv2d_549 (Conv2D) (None, 30, 30, 192) 147456 average_pooling2d_50[0][0]
__________________________________________________________________________________________________
add_66 (Add) (None, 32, 32, 728) 0 block8_sepconv3_bn[0][0]
add_65[0][0]
__________________________________________________________________________________________________
conv_dw_5_relu (ReLU) (None, 64, 64, 256) 0 conv_dw_5_bn[0][0]
__________________________________________________________________________________________________
batch_normalization_540 (BatchN (None, 30, 30, 192) 576 conv2d_540[0][0]
__________________________________________________________________________________________________
batch_normalization_543 (BatchN (None, 30, 30, 192) 576 conv2d_543[0][0]
__________________________________________________________________________________________________
batch_normalization_548 (BatchN (None, 30, 30, 192) 576 conv2d_548[0][0]
__________________________________________________________________________________________________
batch_normalization_549 (BatchN (None, 30, 30, 192) 576 conv2d_549[0][0]
__________________________________________________________________________________________________
block9_sepconv1_act (Activation (None, 32, 32, 728) 0 add_66[0][0]
__________________________________________________________________________________________________
conv_pw_5 (Conv2D) (None, 64, 64, 256) 65536 conv_dw_5_relu[0][0]
__________________________________________________________________________________________________
activation_520 (Activation) (None, 30, 30, 192) 0 batch_normalization_540[0][0]
__________________________________________________________________________________________________
activation_523 (Activation) (None, 30, 30, 192) 0 batch_normalization_543[0][0]
__________________________________________________________________________________________________
activation_528 (Activation) (None, 30, 30, 192) 0 batch_normalization_548[0][0]
__________________________________________________________________________________________________
activation_529 (Activation) (None, 30, 30, 192) 0 batch_normalization_549[0][0]
__________________________________________________________________________________________________
block9_sepconv1 (SeparableConv2 (None, 32, 32, 728) 536536 block9_sepconv1_act[0][0]
__________________________________________________________________________________________________
conv_pw_5_bn (BatchNormalizatio (None, 64, 64, 256) 1024 conv_pw_5[0][0]
__________________________________________________________________________________________________
mixed6 (Concatenate) (None, 30, 30, 768) 0 activation_520[0][0]
activation_523[0][0]
activation_528[0][0]
activation_529[0][0]
__________________________________________________________________________________________________
block9_sepconv1_bn (BatchNormal (None, 32, 32, 728) 2912 block9_sepconv1[0][0]
__________________________________________________________________________________________________
conv_pw_5_relu (ReLU) (None, 64, 64, 256) 0 conv_pw_5_bn[0][0]
__________________________________________________________________________________________________
conv2d_554 (Conv2D) (None, 30, 30, 192) 147456 mixed6[0][0]
__________________________________________________________________________________________________
block9_sepconv2_act (Activation (None, 32, 32, 728) 0 block9_sepconv1_bn[0][0]
__________________________________________________________________________________________________
conv_pad_6 (ZeroPadding2D) (None, 65, 65, 256) 0 conv_pw_5_relu[0][0]
__________________________________________________________________________________________________
batch_normalization_554 (BatchN (None, 30, 30, 192) 576 conv2d_554[0][0]
__________________________________________________________________________________________________
block9_sepconv2 (SeparableConv2 (None, 32, 32, 728) 536536 block9_sepconv2_act[0][0]
__________________________________________________________________________________________________
conv_dw_6 (DepthwiseConv2D) (None, 32, 32, 256) 2304 conv_pad_6[0][0]
__________________________________________________________________________________________________
activation_534 (Activation) (None, 30, 30, 192) 0 batch_normalization_554[0][0]
__________________________________________________________________________________________________
block9_sepconv2_bn (BatchNormal (None, 32, 32, 728) 2912 block9_sepconv2[0][0]
__________________________________________________________________________________________________
conv_dw_6_bn (BatchNormalizatio (None, 32, 32, 256) 1024 conv_dw_6[0][0]
__________________________________________________________________________________________________
conv2d_555 (Conv2D) (None, 30, 30, 192) 258048 activation_534[0][0]
__________________________________________________________________________________________________
block9_sepconv3_act (Activation (None, 32, 32, 728) 0 block9_sepconv2_bn[0][0]
__________________________________________________________________________________________________
conv_dw_6_relu (ReLU) (None, 32, 32, 256) 0 conv_dw_6_bn[0][0]
__________________________________________________________________________________________________
batch_normalization_555 (BatchN (None, 30, 30, 192) 576 conv2d_555[0][0]
__________________________________________________________________________________________________
block9_sepconv3 (SeparableConv2 (None, 32, 32, 728) 536536 block9_sepconv3_act[0][0]
__________________________________________________________________________________________________
conv_pw_6 (Conv2D) (None, 32, 32, 512) 131072 conv_dw_6_relu[0][0]
__________________________________________________________________________________________________
activation_535 (Activation) (None, 30, 30, 192) 0 batch_normalization_555[0][0]
__________________________________________________________________________________________________
block9_sepconv3_bn (BatchNormal (None, 32, 32, 728) 2912 block9_sepconv3[0][0]
__________________________________________________________________________________________________
conv_pw_6_bn (BatchNormalizatio (None, 32, 32, 512) 2048 conv_pw_6[0][0]
__________________________________________________________________________________________________
conv2d_551 (Conv2D) (None, 30, 30, 192) 147456 mixed6[0][0]
__________________________________________________________________________________________________
conv2d_556 (Conv2D) (None, 30, 30, 192) 258048 activation_535[0][0]
__________________________________________________________________________________________________
add_67 (Add) (None, 32, 32, 728) 0 block9_sepconv3_bn[0][0]
add_66[0][0]
__________________________________________________________________________________________________
conv_pw_6_relu (ReLU) (None, 32, 32, 512) 0 conv_pw_6_bn[0][0]
__________________________________________________________________________________________________
batch_normalization_551 (BatchN (None, 30, 30, 192) 576 conv2d_551[0][0]
__________________________________________________________________________________________________
batch_normalization_556 (BatchN (None, 30, 30, 192) 576 conv2d_556[0][0]
__________________________________________________________________________________________________
block10_sepconv1_act (Activatio (None, 32, 32, 728) 0 add_67[0][0]
__________________________________________________________________________________________________
conv_dw_7 (DepthwiseConv2D) (None, 32, 32, 512) 4608 conv_pw_6_relu[0][0]
__________________________________________________________________________________________________
activation_531 (Activation) (None, 30, 30, 192) 0 batch_normalization_551[0][0]
__________________________________________________________________________________________________
activation_536 (Activation) (None, 30, 30, 192) 0 batch_normalization_556[0][0]
__________________________________________________________________________________________________
block10_sepconv1 (SeparableConv (None, 32, 32, 728) 536536 block10_sepconv1_act[0][0]
__________________________________________________________________________________________________
conv_dw_7_bn (BatchNormalizatio (None, 32, 32, 512) 2048 conv_dw_7[0][0]
__________________________________________________________________________________________________
conv2d_552 (Conv2D) (None, 30, 30, 192) 258048 activation_531[0][0]
__________________________________________________________________________________________________
conv2d_557 (Conv2D) (None, 30, 30, 192) 258048 activation_536[0][0]
__________________________________________________________________________________________________
block10_sepconv1_bn (BatchNorma (None, 32, 32, 728) 2912 block10_sepconv1[0][0]
__________________________________________________________________________________________________
conv_dw_7_relu (ReLU) (None, 32, 32, 512) 0 conv_dw_7_bn[0][0]
__________________________________________________________________________________________________
batch_normalization_552 (BatchN (None, 30, 30, 192) 576 conv2d_552[0][0]
__________________________________________________________________________________________________
batch_normalization_557 (BatchN (None, 30, 30, 192) 576 conv2d_557[0][0]
__________________________________________________________________________________________________
block10_sepconv2_act (Activatio (None, 32, 32, 728) 0 block10_sepconv1_bn[0][0]
__________________________________________________________________________________________________
conv_pw_7 (Conv2D) (None, 32, 32, 512) 262144 conv_dw_7_relu[0][0]
__________________________________________________________________________________________________
activation_532 (Activation) (None, 30, 30, 192) 0 batch_normalization_552[0][0]
__________________________________________________________________________________________________
activation_537 (Activation) (None, 30, 30, 192) 0 batch_normalization_557[0][0]
__________________________________________________________________________________________________
average_pooling2d_51 (AveragePo (None, 30, 30, 768) 0 mixed6[0][0]
__________________________________________________________________________________________________
block10_sepconv2 (SeparableConv (None, 32, 32, 728) 536536 block10_sepconv2_act[0][0]
__________________________________________________________________________________________________
conv_pw_7_bn (BatchNormalizatio (None, 32, 32, 512) 2048 conv_pw_7[0][0]
__________________________________________________________________________________________________
conv2d_550 (Conv2D) (None, 30, 30, 192) 147456 mixed6[0][0]
__________________________________________________________________________________________________
conv2d_553 (Conv2D) (None, 30, 30, 192) 258048 activation_532[0][0]
__________________________________________________________________________________________________
conv2d_558 (Conv2D) (None, 30, 30, 192) 258048 activation_537[0][0]
__________________________________________________________________________________________________
conv2d_559 (Conv2D) (None, 30, 30, 192) 147456 average_pooling2d_51[0][0]
__________________________________________________________________________________________________
block10_sepconv2_bn (BatchNorma (None, 32, 32, 728) 2912 block10_sepconv2[0][0]
__________________________________________________________________________________________________
conv_pw_7_relu (ReLU) (None, 32, 32, 512) 0 conv_pw_7_bn[0][0]
__________________________________________________________________________________________________
batch_normalization_550 (BatchN (None, 30, 30, 192) 576 conv2d_550[0][0]
__________________________________________________________________________________________________
batch_normalization_553 (BatchN (None, 30, 30, 192) 576 conv2d_553[0][0]
__________________________________________________________________________________________________
batch_normalization_558 (BatchN (None, 30, 30, 192) 576 conv2d_558[0][0]
__________________________________________________________________________________________________
batch_normalization_559 (BatchN (None, 30, 30, 192) 576 conv2d_559[0][0]
__________________________________________________________________________________________________
block10_sepconv3_act (Activatio (None, 32, 32, 728) 0 block10_sepconv2_bn[0][0]
__________________________________________________________________________________________________
conv_dw_8 (DepthwiseConv2D) (None, 32, 32, 512) 4608 conv_pw_7_relu[0][0]
__________________________________________________________________________________________________
activation_530 (Activation) (None, 30, 30, 192) 0 batch_normalization_550[0][0]
__________________________________________________________________________________________________
activation_533 (Activation) (None, 30, 30, 192) 0 batch_normalization_553[0][0]
__________________________________________________________________________________________________
activation_538 (Activation) (None, 30, 30, 192) 0 batch_normalization_558[0][0]
__________________________________________________________________________________________________
activation_539 (Activation) (None, 30, 30, 192) 0 batch_normalization_559[0][0]
__________________________________________________________________________________________________
block10_sepconv3 (SeparableConv (None, 32, 32, 728) 536536 block10_sepconv3_act[0][0]
__________________________________________________________________________________________________
conv_dw_8_bn (BatchNormalizatio (None, 32, 32, 512) 2048 conv_dw_8[0][0]
__________________________________________________________________________________________________
mixed7 (Concatenate) (None, 30, 30, 768) 0 activation_530[0][0]
activation_533[0][0]
activation_538[0][0]
activation_539[0][0]
__________________________________________________________________________________________________
block10_sepconv3_bn (BatchNorma (None, 32, 32, 728) 2912 block10_sepconv3[0][0]
__________________________________________________________________________________________________
conv_dw_8_relu (ReLU) (None, 32, 32, 512) 0 conv_dw_8_bn[0][0]
__________________________________________________________________________________________________
conv2d_562 (Conv2D) (None, 30, 30, 192) 147456 mixed7[0][0]
__________________________________________________________________________________________________
add_68 (Add) (None, 32, 32, 728) 0 block10_sepconv3_bn[0][0]
add_67[0][0]
__________________________________________________________________________________________________
conv_pw_8 (Conv2D) (None, 32, 32, 512) 262144 conv_dw_8_relu[0][0]
__________________________________________________________________________________________________
batch_normalization_562 (BatchN (None, 30, 30, 192) 576 conv2d_562[0][0]
__________________________________________________________________________________________________
block11_sepconv1_act (Activatio (None, 32, 32, 728) 0 add_68[0][0]
__________________________________________________________________________________________________
conv_pw_8_bn (BatchNormalizatio (None, 32, 32, 512) 2048 conv_pw_8[0][0]
__________________________________________________________________________________________________
activation_542 (Activation) (None, 30, 30, 192) 0 batch_normalization_562[0][0]
__________________________________________________________________________________________________
block11_sepconv1 (SeparableConv (None, 32, 32, 728) 536536 block11_sepconv1_act[0][0]
__________________________________________________________________________________________________
conv_pw_8_relu (ReLU) (None, 32, 32, 512) 0 conv_pw_8_bn[0][0]
__________________________________________________________________________________________________
conv2d_563 (Conv2D) (None, 30, 30, 192) 258048 activation_542[0][0]
__________________________________________________________________________________________________
block11_sepconv1_bn (BatchNorma (None, 32, 32, 728) 2912 block11_sepconv1[0][0]
__________________________________________________________________________________________________
conv_dw_9 (DepthwiseConv2D) (None, 32, 32, 512) 4608 conv_pw_8_relu[0][0]
__________________________________________________________________________________________________
batch_normalization_563 (BatchN (None, 30, 30, 192) 576 conv2d_563[0][0]
__________________________________________________________________________________________________
block11_sepconv2_act (Activatio (None, 32, 32, 728) 0 block11_sepconv1_bn[0][0]
__________________________________________________________________________________________________
conv_dw_9_bn (BatchNormalizatio (None, 32, 32, 512) 2048 conv_dw_9[0][0]
__________________________________________________________________________________________________
activation_543 (Activation) (None, 30, 30, 192) 0 batch_normalization_563[0][0]
__________________________________________________________________________________________________
block11_sepconv2 (SeparableConv (None, 32, 32, 728) 536536 block11_sepconv2_act[0][0]
__________________________________________________________________________________________________
conv_dw_9_relu (ReLU) (None, 32, 32, 512) 0 conv_dw_9_bn[0][0]
__________________________________________________________________________________________________
conv2d_560 (Conv2D) (None, 30, 30, 192) 147456 mixed7[0][0]
__________________________________________________________________________________________________
conv2d_564 (Conv2D) (None, 30, 30, 192) 258048 activation_543[0][0]
__________________________________________________________________________________________________
block11_sepconv2_bn (BatchNorma (None, 32, 32, 728) 2912 block11_sepconv2[0][0]
__________________________________________________________________________________________________
conv_pw_9 (Conv2D) (None, 32, 32, 512) 262144 conv_dw_9_relu[0][0]
__________________________________________________________________________________________________
batch_normalization_560 (BatchN (None, 30, 30, 192) 576 conv2d_560[0][0]
__________________________________________________________________________________________________
batch_normalization_564 (BatchN (None, 30, 30, 192) 576 conv2d_564[0][0]
__________________________________________________________________________________________________
block11_sepconv3_act (Activatio (None, 32, 32, 728) 0 block11_sepconv2_bn[0][0]
__________________________________________________________________________________________________
conv_pw_9_bn (BatchNormalizatio (None, 32, 32, 512) 2048 conv_pw_9[0][0]
__________________________________________________________________________________________________
activation_540 (Activation) (None, 30, 30, 192) 0 batch_normalization_560[0][0]
__________________________________________________________________________________________________
activation_544 (Activation) (None, 30, 30, 192) 0 batch_normalization_564[0][0]
__________________________________________________________________________________________________
block11_sepconv3 (SeparableConv (None, 32, 32, 728) 536536 block11_sepconv3_act[0][0]
__________________________________________________________________________________________________
conv_pw_9_relu (ReLU) (None, 32, 32, 512) 0 conv_pw_9_bn[0][0]
__________________________________________________________________________________________________
conv2d_561 (Conv2D) (None, 14, 14, 320) 552960 activation_540[0][0]
__________________________________________________________________________________________________
conv2d_565 (Conv2D) (None, 14, 14, 192) 331776 activation_544[0][0]
__________________________________________________________________________________________________
block11_sepconv3_bn (BatchNorma (None, 32, 32, 728) 2912 block11_sepconv3[0][0]
__________________________________________________________________________________________________
conv_dw_10 (DepthwiseConv2D) (None, 32, 32, 512) 4608 conv_pw_9_relu[0][0]
__________________________________________________________________________________________________
batch_normalization_561 (BatchN (None, 14, 14, 320) 960 conv2d_561[0][0]
__________________________________________________________________________________________________
batch_normalization_565 (BatchN (None, 14, 14, 192) 576 conv2d_565[0][0]
__________________________________________________________________________________________________
add_69 (Add) (None, 32, 32, 728) 0 block11_sepconv3_bn[0][0]
add_68[0][0]
__________________________________________________________________________________________________
conv_dw_10_bn (BatchNormalizati (None, 32, 32, 512) 2048 conv_dw_10[0][0]
__________________________________________________________________________________________________
activation_541 (Activation) (None, 14, 14, 320) 0 batch_normalization_561[0][0]
__________________________________________________________________________________________________
activation_545 (Activation) (None, 14, 14, 192) 0 batch_normalization_565[0][0]
__________________________________________________________________________________________________
max_pooling2d_23 (MaxPooling2D) (None, 14, 14, 768) 0 mixed7[0][0]
__________________________________________________________________________________________________
block12_sepconv1_act (Activatio (None, 32, 32, 728) 0 add_69[0][0]
__________________________________________________________________________________________________
conv_dw_10_relu (ReLU) (None, 32, 32, 512) 0 conv_dw_10_bn[0][0]
__________________________________________________________________________________________________
mixed8 (Concatenate) (None, 14, 14, 1280) 0 activation_541[0][0]
activation_545[0][0]
max_pooling2d_23[0][0]
__________________________________________________________________________________________________
block12_sepconv1 (SeparableConv (None, 32, 32, 728) 536536 block12_sepconv1_act[0][0]
__________________________________________________________________________________________________
conv_pw_10 (Conv2D) (None, 32, 32, 512) 262144 conv_dw_10_relu[0][0]
__________________________________________________________________________________________________
conv2d_570 (Conv2D) (None, 14, 14, 448) 573440 mixed8[0][0]
__________________________________________________________________________________________________
block12_sepconv1_bn (BatchNorma (None, 32, 32, 728) 2912 block12_sepconv1[0][0]
__________________________________________________________________________________________________
conv_pw_10_bn (BatchNormalizati (None, 32, 32, 512) 2048 conv_pw_10[0][0]
__________________________________________________________________________________________________
batch_normalization_570 (BatchN (None, 14, 14, 448) 1344 conv2d_570[0][0]
__________________________________________________________________________________________________
block12_sepconv2_act (Activatio (None, 32, 32, 728) 0 block12_sepconv1_bn[0][0]
__________________________________________________________________________________________________
conv_pw_10_relu (ReLU) (None, 32, 32, 512) 0 conv_pw_10_bn[0][0]
__________________________________________________________________________________________________
activation_550 (Activation) (None, 14, 14, 448) 0 batch_normalization_570[0][0]
__________________________________________________________________________________________________
block12_sepconv2 (SeparableConv (None, 32, 32, 728) 536536 block12_sepconv2_act[0][0]
__________________________________________________________________________________________________
conv_dw_11 (DepthwiseConv2D) (None, 32, 32, 512) 4608 conv_pw_10_relu[0][0]
__________________________________________________________________________________________________
conv2d_567 (Conv2D) (None, 14, 14, 384) 491520 mixed8[0][0]
__________________________________________________________________________________________________
conv2d_571 (Conv2D) (None, 14, 14, 384) 1548288 activation_550[0][0]
__________________________________________________________________________________________________
block12_sepconv2_bn (BatchNorma (None, 32, 32, 728) 2912 block12_sepconv2[0][0]
__________________________________________________________________________________________________
conv_dw_11_bn (BatchNormalizati (None, 32, 32, 512) 2048 conv_dw_11[0][0]
__________________________________________________________________________________________________
batch_normalization_567 (BatchN (None, 14, 14, 384) 1152 conv2d_567[0][0]
__________________________________________________________________________________________________
batch_normalization_571 (BatchN (None, 14, 14, 384) 1152 conv2d_571[0][0]
__________________________________________________________________________________________________
block12_sepconv3_act (Activatio (None, 32, 32, 728) 0 block12_sepconv2_bn[0][0]
__________________________________________________________________________________________________
conv_dw_11_relu (ReLU) (None, 32, 32, 512) 0 conv_dw_11_bn[0][0]
__________________________________________________________________________________________________
activation_547 (Activation) (None, 14, 14, 384) 0 batch_normalization_567[0][0]
__________________________________________________________________________________________________
activation_551 (Activation) (None, 14, 14, 384) 0 batch_normalization_571[0][0]
__________________________________________________________________________________________________
block12_sepconv3 (SeparableConv (None, 32, 32, 728) 536536 block12_sepconv3_act[0][0]
__________________________________________________________________________________________________
conv_pw_11 (Conv2D) (None, 32, 32, 512) 262144 conv_dw_11_relu[0][0]
__________________________________________________________________________________________________
conv2d_568 (Conv2D) (None, 14, 14, 384) 442368 activation_547[0][0]
__________________________________________________________________________________________________
conv2d_569 (Conv2D) (None, 14, 14, 384) 442368 activation_547[0][0]
__________________________________________________________________________________________________
conv2d_572 (Conv2D) (None, 14, 14, 384) 442368 activation_551[0][0]
__________________________________________________________________________________________________
conv2d_573 (Conv2D) (None, 14, 14, 384) 442368 activation_551[0][0]
__________________________________________________________________________________________________
average_pooling2d_52 (AveragePo (None, 14, 14, 1280) 0 mixed8[0][0]
__________________________________________________________________________________________________
block12_sepconv3_bn (BatchNorma (None, 32, 32, 728) 2912 block12_sepconv3[0][0]
__________________________________________________________________________________________________
conv_pw_11_bn (BatchNormalizati (None, 32, 32, 512) 2048 conv_pw_11[0][0]
__________________________________________________________________________________________________
conv2d_566 (Conv2D) (None, 14, 14, 320) 409600 mixed8[0][0]
__________________________________________________________________________________________________
batch_normalization_568 (BatchN (None, 14, 14, 384) 1152 conv2d_568[0][0]
__________________________________________________________________________________________________
batch_normalization_569 (BatchN (None, 14, 14, 384) 1152 conv2d_569[0][0]
__________________________________________________________________________________________________
batch_normalization_572 (BatchN (None, 14, 14, 384) 1152 conv2d_572[0][0]
__________________________________________________________________________________________________
batch_normalization_573 (BatchN (None, 14, 14, 384) 1152 conv2d_573[0][0]
__________________________________________________________________________________________________
conv2d_574 (Conv2D) (None, 14, 14, 192) 245760 average_pooling2d_52[0][0]
__________________________________________________________________________________________________
add_70 (Add) (None, 32, 32, 728) 0 block12_sepconv3_bn[0][0]
add_69[0][0]
__________________________________________________________________________________________________
conv_pw_11_relu (ReLU) (None, 32, 32, 512) 0 conv_pw_11_bn[0][0]
__________________________________________________________________________________________________
batch_normalization_566 (BatchN (None, 14, 14, 320) 960 conv2d_566[0][0]
__________________________________________________________________________________________________
activation_548 (Activation) (None, 14, 14, 384) 0 batch_normalization_568[0][0]
__________________________________________________________________________________________________
activation_549 (Activation) (None, 14, 14, 384) 0 batch_normalization_569[0][0]
__________________________________________________________________________________________________
activation_552 (Activation) (None, 14, 14, 384) 0 batch_normalization_572[0][0]
__________________________________________________________________________________________________
activation_553 (Activation) (None, 14, 14, 384) 0 batch_normalization_573[0][0]
__________________________________________________________________________________________________
batch_normalization_574 (BatchN (None, 14, 14, 192) 576 conv2d_574[0][0]
__________________________________________________________________________________________________
block13_sepconv1_act (Activatio (None, 32, 32, 728) 0 add_70[0][0]
__________________________________________________________________________________________________
conv_pad_12 (ZeroPadding2D) (None, 33, 33, 512) 0 conv_pw_11_relu[0][0]
__________________________________________________________________________________________________
activation_546 (Activation) (None, 14, 14, 320) 0 batch_normalization_566[0][0]
__________________________________________________________________________________________________
mixed9_0 (Concatenate) (None, 14, 14, 768) 0 activation_548[0][0]
activation_549[0][0]
__________________________________________________________________________________________________
concatenate_10 (Concatenate) (None, 14, 14, 768) 0 activation_552[0][0]
activation_553[0][0]
__________________________________________________________________________________________________
activation_554 (Activation) (None, 14, 14, 192) 0 batch_normalization_574[0][0]
__________________________________________________________________________________________________
block13_sepconv1 (SeparableConv (None, 32, 32, 728) 536536 block13_sepconv1_act[0][0]
__________________________________________________________________________________________________
conv_dw_12 (DepthwiseConv2D) (None, 16, 16, 512) 4608 conv_pad_12[0][0]
__________________________________________________________________________________________________
mixed9 (Concatenate) (None, 14, 14, 2048) 0 activation_546[0][0]
mixed9_0[0][0]
concatenate_10[0][0]
activation_554[0][0]
__________________________________________________________________________________________________
block13_sepconv1_bn (BatchNorma (None, 32, 32, 728) 2912 block13_sepconv1[0][0]
__________________________________________________________________________________________________
conv_dw_12_bn (BatchNormalizati (None, 16, 16, 512) 2048 conv_dw_12[0][0]
__________________________________________________________________________________________________
conv2d_579 (Conv2D) (None, 14, 14, 448) 917504 mixed9[0][0]
__________________________________________________________________________________________________
block13_sepconv2_act (Activatio (None, 32, 32, 728) 0 block13_sepconv1_bn[0][0]
__________________________________________________________________________________________________
conv_dw_12_relu (ReLU) (None, 16, 16, 512) 0 conv_dw_12_bn[0][0]
__________________________________________________________________________________________________
batch_normalization_579 (BatchN (None, 14, 14, 448) 1344 conv2d_579[0][0]
__________________________________________________________________________________________________
block13_sepconv2 (SeparableConv (None, 32, 32, 1024) 752024 block13_sepconv2_act[0][0]
__________________________________________________________________________________________________
conv_pw_12 (Conv2D) (None, 16, 16, 1024) 524288 conv_dw_12_relu[0][0]
__________________________________________________________________________________________________
activation_559 (Activation) (None, 14, 14, 448) 0 batch_normalization_579[0][0]
__________________________________________________________________________________________________
block13_sepconv2_bn (BatchNorma (None, 32, 32, 1024) 4096 block13_sepconv2[0][0]
__________________________________________________________________________________________________
conv2d_587 (Conv2D) (None, 16, 16, 1024) 745472 add_70[0][0]
__________________________________________________________________________________________________
conv_pw_12_bn (BatchNormalizati (None, 16, 16, 1024) 4096 conv_pw_12[0][0]
__________________________________________________________________________________________________
conv2d_576 (Conv2D) (None, 14, 14, 384) 786432 mixed9[0][0]
__________________________________________________________________________________________________
conv2d_580 (Conv2D) (None, 14, 14, 384) 1548288 activation_559[0][0]
__________________________________________________________________________________________________
block13_pool (MaxPooling2D) (None, 16, 16, 1024) 0 block13_sepconv2_bn[0][0]
__________________________________________________________________________________________________
batch_normalization_587 (BatchN (None, 16, 16, 1024) 4096 conv2d_587[0][0]
__________________________________________________________________________________________________
conv_pw_12_relu (ReLU) (None, 16, 16, 1024) 0 conv_pw_12_bn[0][0]
__________________________________________________________________________________________________
batch_normalization_576 (BatchN (None, 14, 14, 384) 1152 conv2d_576[0][0]
__________________________________________________________________________________________________
batch_normalization_580 (BatchN (None, 14, 14, 384) 1152 conv2d_580[0][0]
__________________________________________________________________________________________________
add_71 (Add) (None, 16, 16, 1024) 0 block13_pool[0][0]
batch_normalization_587[0][0]
__________________________________________________________________________________________________
conv_dw_13 (DepthwiseConv2D) (None, 16, 16, 1024) 9216 conv_pw_12_relu[0][0]
__________________________________________________________________________________________________
activation_556 (Activation) (None, 14, 14, 384) 0 batch_normalization_576[0][0]
__________________________________________________________________________________________________
activation_560 (Activation) (None, 14, 14, 384) 0 batch_normalization_580[0][0]
__________________________________________________________________________________________________
block14_sepconv1 (SeparableConv (None, 16, 16, 1536) 1582080 add_71[0][0]
__________________________________________________________________________________________________
conv_dw_13_bn (BatchNormalizati (None, 16, 16, 1024) 4096 conv_dw_13[0][0]
__________________________________________________________________________________________________
conv2d_577 (Conv2D) (None, 14, 14, 384) 442368 activation_556[0][0]
__________________________________________________________________________________________________
conv2d_578 (Conv2D) (None, 14, 14, 384) 442368 activation_556[0][0]
__________________________________________________________________________________________________
conv2d_581 (Conv2D) (None, 14, 14, 384) 442368 activation_560[0][0]
__________________________________________________________________________________________________
conv2d_582 (Conv2D) (None, 14, 14, 384) 442368 activation_560[0][0]
__________________________________________________________________________________________________
average_pooling2d_53 (AveragePo (None, 14, 14, 2048) 0 mixed9[0][0]
__________________________________________________________________________________________________
block14_sepconv1_bn (BatchNorma (None, 16, 16, 1536) 6144 block14_sepconv1[0][0]
__________________________________________________________________________________________________
conv_dw_13_relu (ReLU) (None, 16, 16, 1024) 0 conv_dw_13_bn[0][0]
__________________________________________________________________________________________________
conv2d_575 (Conv2D) (None, 14, 14, 320) 655360 mixed9[0][0]
__________________________________________________________________________________________________
batch_normalization_577 (BatchN (None, 14, 14, 384) 1152 conv2d_577[0][0]
__________________________________________________________________________________________________
batch_normalization_578 (BatchN (None, 14, 14, 384) 1152 conv2d_578[0][0]
__________________________________________________________________________________________________
batch_normalization_581 (BatchN (None, 14, 14, 384) 1152 conv2d_581[0][0]
__________________________________________________________________________________________________
batch_normalization_582 (BatchN (None, 14, 14, 384) 1152 conv2d_582[0][0]
__________________________________________________________________________________________________
conv2d_583 (Conv2D) (None, 14, 14, 192) 393216 average_pooling2d_53[0][0]
__________________________________________________________________________________________________
block14_sepconv1_act (Activatio (None, 16, 16, 1536) 0 block14_sepconv1_bn[0][0]
__________________________________________________________________________________________________
conv_pw_13 (Conv2D) (None, 16, 16, 1024) 1048576 conv_dw_13_relu[0][0]
__________________________________________________________________________________________________
batch_normalization_575 (BatchN (None, 14, 14, 320) 960 conv2d_575[0][0]
__________________________________________________________________________________________________
activation_557 (Activation) (None, 14, 14, 384) 0 batch_normalization_577[0][0]
__________________________________________________________________________________________________
activation_558 (Activation) (None, 14, 14, 384) 0 batch_normalization_578[0][0]
__________________________________________________________________________________________________
activation_561 (Activation) (None, 14, 14, 384) 0 batch_normalization_581[0][0]
__________________________________________________________________________________________________
activation_562 (Activation) (None, 14, 14, 384) 0 batch_normalization_582[0][0]
__________________________________________________________________________________________________
batch_normalization_583 (BatchN (None, 14, 14, 192) 576 conv2d_583[0][0]
__________________________________________________________________________________________________
block14_sepconv2 (SeparableConv (None, 16, 16, 2048) 3159552 block14_sepconv1_act[0][0]
__________________________________________________________________________________________________
conv_pw_13_bn (BatchNormalizati (None, 16, 16, 1024) 4096 conv_pw_13[0][0]
__________________________________________________________________________________________________
activation_555 (Activation) (None, 14, 14, 320) 0 batch_normalization_575[0][0]
__________________________________________________________________________________________________
mixed9_1 (Concatenate) (None, 14, 14, 768) 0 activation_557[0][0]
activation_558[0][0]
__________________________________________________________________________________________________
concatenate_11 (Concatenate) (None, 14, 14, 768) 0 activation_561[0][0]
activation_562[0][0]
__________________________________________________________________________________________________
activation_563 (Activation) (None, 14, 14, 192) 0 batch_normalization_583[0][0]
__________________________________________________________________________________________________
block14_sepconv2_bn (BatchNorma (None, 16, 16, 2048) 8192 block14_sepconv2[0][0]
__________________________________________________________________________________________________
conv_pw_13_relu (ReLU) (None, 16, 16, 1024) 0 conv_pw_13_bn[0][0]
__________________________________________________________________________________________________
mixed10 (Concatenate) (None, 14, 14, 2048) 0 activation_555[0][0]
mixed9_1[0][0]
concatenate_11[0][0]
activation_563[0][0]
__________________________________________________________________________________________________
block14_sepconv2_act (Activatio (None, 16, 16, 2048) 0 block14_sepconv2_bn[0][0]
__________________________________________________________________________________________________
global_average_pooling2d_15 (Gl (None, 1024) 0 conv_pw_13_relu[0][0]
__________________________________________________________________________________________________
global_average_pooling2d_16 (Gl (None, 2048) 0 mixed10[0][0]
__________________________________________________________________________________________________
global_average_pooling2d_17 (Gl (None, 2048) 0 block14_sepconv2_act[0][0]
__________________________________________________________________________________________________
dense_15 (Dense) (None, 2) 2050 global_average_pooling2d_15[0][0]
__________________________________________________________________________________________________
dense_16 (Dense) (None, 2) 4098 global_average_pooling2d_16[0][0]
__________________________________________________________________________________________________
dense_17 (Dense) (None, 2) 4098 global_average_pooling2d_17[0][0]
__________________________________________________________________________________________________
average_1 (Average) (None, 2) 0 dense_15[0][0]
dense_16[0][0]
dense_17[0][0]
==================================================================================================
Total params: 45,903,374
Trainable params: 45,792,526
Non-trainable params: 110,848
__________________________________________________________________________________________________
Working Flowchart:
import tensorflow as tf
saved_ensemble_model = tf.keras.models.load_model('/content/drive/MyDrive/dataset/ISIC Challenge 2017 Organized/FINAL SAVED OUTPUTS/FINAL_FILE_for_Soft_Computing_Project_Skin_Cancer.h5')
converter = tf.lite.TFLiteConverter.from_keras_model(saved_ensemble_model)
tflite_model = converter.convert()
open("FINAL_FILE_for_Interface_Soft_Computing_Project_Skin_Cancer.tflite", "wb").write(tflite_model)
WARNING:tensorflow:No training configuration found in the save file, so the model was *not* compiled. Compile it manually. INFO:tensorflow:Assets written to: /tmp/tmpjins5vum/assets
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